AI Research and Natural Language Processing - Artificial Intelligence Zone

20 GitHub Repositories to Master Natural Language Processing (NLP)

Marktechpost

OCTOBER 25, 2024

Natural Language Processing (NLP) is a rapidly growing field that deals with the interaction between computers and human language. Transformers is a state-of-the-art library developed by Hugging Face that provides pre-trained models and tools for a wide range of natural language processing (NLP) tasks.

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Combining the Best of Both Worlds: Retrieval-Augmented Generation for Knowledge-Intensive Natural Language Processing

Marktechpost

MAY 27, 2024

Knowledge-intensive Natural Language Processing (NLP) involves tasks requiring deep understanding and manipulation of extensive factual information. Researchers from Facebook AI Research, University College London, and New York University introduced Retrieval-Augmented Generation (RAG) models to address these limitations.

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A Comprehensive Guide on i-Transformer

Analytics Vidhya

MAY 13, 2024

Introduction Transformers have revolutionized various domains of machine learning, notably in natural language processing (NLP) and computer vision. Their ability to capture long-range dependencies and handle sequential data effectively has made them a staple in every AI researcher and practitioner’s toolbox.

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4 HR Predictions for 2025: Supercharge Your Employee Experience with Internal Communications

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Can AI Really Understand Sarcasm? This Paper from NYU Explores Advanced Models in Natural Language Processing

Marktechpost

DECEMBER 30, 2023

Natural Language Processing (NLP) is useful in many fields, bringing about transformative communication, information processing, and decision-making changes. The post Can AI Really Understand Sarcasm? This Paper from NYU Explores Advanced Models in Natural Language Processing appeared first on MarkTechPost.

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5 Best AI Research Paper Summarizers (May 2024)

Unite.AI

MAY 10, 2024

AI-powered research paper summarizers have emerged as powerful tools, leveraging advanced algorithms to condense lengthy documents into concise and readable summaries. In this article, we will explore the top AI research paper summarizers, each designed to streamline the process of understanding and synthesizing academic literature: 1.

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Rethinking Reproducibility As the New Frontier in AI Research

Unite.AI

DECEMBER 20, 2023

In particular, the instances of irreproducible findings, such as in a review of 62 studies diagnosing COVID-19 with AI , emphasize the necessity to reevaluate practices and highlight the significance of transparency. Multiple factors contribute to the reproducibility crisis in AI research.

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Knowledge Fusion of Large Language Models (LLMs)

Analytics Vidhya

FEBRUARY 16, 2024

Introduction In Natural Language Processing (NLP), developing Large Language Models (LLMs) has proven to be a transformative and revolutionary endeavor. These models, equipped with massive parameters and trained on extensive datasets, have demonstrated unprecedented proficiency across many NLP tasks.

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5 Best Large Language Models (LLMs) (September 2024)

Unite.AI

SEPTEMBER 18, 2024

The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI. Visit GPT-4o → 3.

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New Neural Model Enables AI-to-AI Linguistic Communication

Unite.AI

MARCH 24, 2024

This development suggests a future where AI can more closely mimic human-like learning and communication, opening doors to applications that require such dynamic interactivity and adaptability. NLP enables machines to understand, interpret, and respond to human language in a meaningful way.

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OpenAI’s first global office will be in London

AI News

JUNE 30, 2023

“We are eager to build dynamic teams in Research, Engineering, and Go-to-Market functions, as well as other areas, to reinforce our efforts in creating and promoting safe AGI.” ” OpenAI has been at the forefront of AI research, creating breakthroughs in natural language processing, reinforcement learning, and other areas.

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Salesforce AI Research Introduces the SFR-Embedding Model: Enhancing Text Retrieval with Transfer Learning

Marktechpost

MARCH 6, 2024

Salesforce AI Researchers introduced the SFR-Embedding-Mistral model to address the challenge of improving text-embedding models for various natural language processing (NLP) tasks, including retrieval, clustering, classification, and semantic textual similarity.

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Google AI Researchers Introduce MADLAD-400: A 2.8T Token Web-Domain Dataset that Covers 419 Languages

Marktechpost

SEPTEMBER 14, 2023

In the ever-evolving field of Natural Language Processing (NLP), the development of machine translation and language models has been primarily driven by the availability of vast training datasets in languages like English. The post Google AI Researchers Introduce MADLAD-400: A 2.8T

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Enhancing Autoregressive Decoding Efficiency: A Machine Learning Approach by Qualcomm AI Research Using Hybrid Large and Small Language Models

Marktechpost

MARCH 3, 2024

Central to Natural Language Processing (NLP) advancements are large language models (LLMs), which have set new benchmarks for what machines can achieve in understanding and generating human language. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

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A New AI Research Introduces Recognize Anything Model (RAM): A Robust Base Model For Image Tagging

Flipboard

JUNE 10, 2023

When it comes to natural language processing (NLP) tasks, large language models (LLM) trained on massive online datasets perform exceptionally well. …

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Meta AI Research Introduces MobileLLM: Pioneering Machine Learning Innovations for Enhanced On-Device Intelligence

Marktechpost

MARCH 3, 2024

By reimagining the architecture of these models and integrating innovative techniques for efficient parameter use, the research team has achieved remarkable performance gains and broadened the horizon for the deployment of LLMs. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

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Meta AI Researchers Propose Advanced Long-Context LLMs: A Deep Dive into Upsampling, Training Techniques, and Surpassing GPT-3.5-Turbo-16k’s Performance

Marktechpost

OCTOBER 7, 2023

The emergence of Large Language Models (LLMs) in natural language processing represents a groundbreaking development. Ultimately, the team hopes to empower researchers and developers to harness the potential of long-context LLMs for a wide array of applications, ushering in a new era of natural language processing.

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Qualcomm AI Research Proposes the GPTVQ Method: A Fast Machine Learning Method for Post-Training Quantization of Large Networks Using Vector Quantization (VQ)

Marktechpost

MARCH 4, 2024

Efficiency of Large Language Models (LLMs) is a focal point for researchers in AI. A groundbreaking study by Qualcomm AI Research introduces a method known as GPTVQ, which leverages vector quantization (VQ) to enhance the size-accuracy trade-off in neural network quantization significantly.

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This AI Research Shares a Comprehensive Overview of Large Language Models (LLMs) on Graphs

Marktechpost

DECEMBER 13, 2023

The well-known Large Language Models (LLMs) like GPT, BERT, PaLM, and LLaMA have brought in some great advancements in Natural Language Processing (NLP) and Natural Language Generation (NLG). If you like our work, you will love our newsletter.

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Do Language Models Know When They Are Hallucinating? This AI Research from Microsoft and Columbia University Explores Detecting Hallucinations with the Creation of Probes

Marktechpost

DECEMBER 31, 2023

Large Language Models (LLMs), the latest innovation of Artificial Intelligence (AI), use deep learning techniques to produce human-like text and perform various Natural Language Processing (NLP) and Natural Language Generation (NLG) tasks. The post Do Language Models Know When They Are Hallucinating?

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This AI Research Introduces Owl: A New Large Language Model for IT Operations

Marktechpost

SEPTEMBER 21, 2023

In the ever-evolving landscape of Natural Language Processing (NLP) and Artificial Intelligence (AI), Large Language Models (LLMs) have emerged as powerful tools, demonstrating remarkable capabilities in various NLP tasks. If you like our work, you will love our newsletter.

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Microsoft AI Research Introduces Generalized Instruction Tuning (called GLAN): A General and Scalable Artificial Intelligence Method for Instruction Tuning of Large Language Models (LLMs)

Marktechpost

MARCH 2, 2024

The currently existing techniques for instruction tuning frequently rely on Natural Language Processing (NLP) datasets, which are scarce, or self-instruct approaches that produce artificial datasets having difficulty with diversity. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

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AI trends in 2023: Graph Neural Networks

AssemblyAI

MARCH 21, 2023

What is the current role of GNNs in the broader AI research landscape? Let’s take a look at some numbers revealing how GNNs have seen a spectacular rise within the research community. We find that the term Graph Neural Network consistently ranked in the top 3 keywords year over year.

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AI News Weekly - Issue #343: Summer Fiction Reads about AI - Jul 27th 2023

AI Weekly

JULY 27, 2023

techcrunch.com The Essential Artificial Intelligence Glossary for Marketers (90+ Terms) BERT - Bidirectional Encoder Representations from Transformers (BERT) is Google’s deep learning model designed explicitly for natural language processing tasks like answering questions, analyzing sentiment, and translation.

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AI News Weekly - Issue #345: Hollywood’s Major Crew Union Debates How to Use AI as Contract Talks Loom - Aug 10th 2023

AI Weekly

AUGUST 10, 2023

Powered by clkmg.com In the News Deepset nabs $30M to speed up natural language processing projects Deepset GmbH today announced that it has raised $30 million to enhance its open-source Haystack framework, which helps developers build natural language processing applications.

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Apple AI Research Introduces AIM: A Collection of Vision Models Pre-Trained with an Autoregressive Objective

Marktechpost

JANUARY 19, 2024

Task-agnostic model pre-training is now the norm in Natural Language Processing, driven by the recent revolution in large language models (LLMs) like ChatGPT. These models showcase proficiency in tackling intricate reasoning tasks, adhering to instructions, and serving as the backbone for widely used AI assistants.

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This AI Research Introduces Flash-Decoding: A New Artificial Intelligence Approach Based on FlashAttention to Make Long-Context LLM Inference Up to 8x Faster

Marktechpost

OCTOBER 18, 2023

Large language models (LLMs) such as ChatGPT and Llama have garnered substantial attention due to their exceptional natural language processing capabilities, enabling various applications ranging from text generation to code completion. All Credit For This Research Goes To the Researchers on This Project.

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EXAONE 3.0 Released: A 7.8B Open-Sourced State of the Art Language Model from LG AI Research

Marktechpost

AUGUST 9, 2024

LG AI Research has recently announced the release of EXAONE 3.0. The release as an open-source large language model is unique to the current version with great results and 7.8B LG AI Research is driving a new development direction, marking it competitive with the latest technology trends. parameters. Released: A 7.8B

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Bridging the Language Gap: A Push for AI Tools for African Languages

Unite.AI

AUGUST 19, 2023

Fortunately, a team of researchers in Africa is striving to bridge this digital divide. Their recent study in the journal Patterns outlines strategies to develop AI tools tailored to African languages. Kathleen Siminyu, an AI researcher at the Masakhane Research Foundation, emphasizes the importance of this endeavor.

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Can Large Language Models Really Do Math? This Artificial Intelligence AI Research Introduce MathGLM: A Robust Model To Solve Mathematical Problems Without a Calculator

Marktechpost

SEPTEMBER 12, 2023

When it comes to downstream natural language processing (NLP) tasks, large language models (LLMs) have proven to be exceptionally effective. The post Can Large Language Models Really Do Math? Their text comprehension and generation abilities make them extremely flexible for use in a wide range of NLP applications.

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NVIDIA AI Researchers Explore Upcycling Large Language Models into Sparse Mixture-of-Experts

Marktechpost

OCTOBER 13, 2024

Mixture of Experts (MoE) models are becoming critical in advancing AI, particularly in natural language processing. MoE architectures differ from traditional dense models by selectively activating subsets of specialized expert networks for each input. If you like our work, you will love our newsletter.

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IBM AI Research Introduces Unitxt: An Innovative Library For Customizable Textual Data Preparation And Evaluation Tailored To Generative Language Models

Marktechpost

JANUARY 30, 2024

Though it has always played an essential part in natural language processing, textual data processing now sees new uses in the field. Multiple teams working on different natural language processing (NLP) activities have already used Unitxt as a core utility for LLMs in IBM.

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A New AI Research from Apple and Equall AI Uncovers Redundancies in Transformer Architecture: How Streamlining the Feed Forward Network Boosts Efficiency and Accuracy

Marktechpost

SEPTEMBER 10, 2023

Transformer design that has recently become popular has taken over as the standard method for Natural Language Processing (NLP) activities, particularly Machine Translation (MT). A number of studies and investigations have validated this observation. If you like our work, you will love our newsletter.

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Salesforce AI Research Introduces SummHay: A Robust AI Benchmark for Evaluating Long-Context Summarization in LLMs and RAG Systems

Marktechpost

JULY 6, 2024

Natural language processing (NLP) in artificial intelligence focuses on enabling machines to understand and generate human language. This field encompasses a variety of tasks, including language translation, sentiment analysis, and text summarization. Also, don’t forget to follow us on Twitter.

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Top 10 Influential AI Research Papers in 2023 from Google, Meta, Microsoft, and More

Topbots

DECEMBER 5, 2023

Top 10 AI Research Papers 2023 1. Sparks of AGI by Microsoft Summary In this research paper, a team from Microsoft Research analyzes an early version of OpenAI’s GPT-4, which was still under active development at the time. Sign up for more AI research updates. Enjoy this article?

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AI Learns from AI: The Emergence of Social Learning Among Large Language Models

Unite.AI

MARCH 22, 2024

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP).

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The Rise of Time-Series Foundation Models for Data Analysis and Forecasting

Unite.AI

APRIL 4, 2024

Time series forecasting plays a vital role in crucial decision-making processes across various industries such as retail, finance, manufacturing, and healthcare. Moirai : Developed by Salesforce AI Research, Moirai is a foundational time series model designed for universal forecasting.

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A New AI Research Introduces AttrPrompt: A LLM-as-Training-Data-Generator for a New Paradigm in Zero-Shot Learning

Marktechpost

JULY 2, 2023

The performance of large language models (LLMs) has been impressive across many different natural language processing (NLP) applications. Don’t forget to join our 25k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

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DeepSeek AI Researchers Propose Expert-Specialized Fine-Tuning, or ESFT to Reduce Memory by up to 90% and Time by up to 30%

Marktechpost

JULY 6, 2024

Natural language processing is advancing rapidly, focusing on optimizing large language models (LLMs) for specific tasks. These models, often containing billions of parameters, pose a significant challenge in customization. Also, don’t forget to follow us on Twitter. Join our Telegram Channel and LinkedIn Gr oup.

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Google AI Research Proposes TRICE: A New Machine Learning Algorithm for Tuning LLMs to be Better at Solving Question-Answering Tasks Using Chain-of-Thought (CoT) Prompting

Marktechpost

DECEMBER 9, 2023

These findings highlight the potential for continued advancements in natural language processing and its application to problem-solving. Future research directions include evaluating the MCMC-EM fine-tuning technique on diverse tasks and datasets to assess its generalizability.

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Top Artificial Intelligence AI Courses from Stanford

Marktechpost

JUNE 14, 2024

This article lists the top AI courses by Stanford that provide essential training in machine learning, deep learning, natural language processing, and other key AI technologies, making them invaluable for anyone looking to excel in the field.

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Cohere AI Researchers Investigate Overcoming Quantization Cliffs in Large-Scale Machine Learning Models Through Optimization Techniques

Marktechpost

DECEMBER 27, 2023

Artificial intelligence’s ascent of large language models (LLMs) has redefined natural language processing. Quantization, the process of reducing model weights and activations to lower bit precision, is crucial for deploying models on resource-constrained devices.

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Google AI Research Introduces Process Advantage Verifiers: A Novel Machine Learning Approach to Improving LLM Reasoning Capabilities

Marktechpost

OCTOBER 15, 2024

Large language models (LLMs) have become crucial in natural language processing, particularly for solving complex reasoning tasks. However, while LLMs can process and generate responses based on vast amounts of data, improving their reasoning capabilities is an ongoing challenge.

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Nota AI Researchers Introduce LD-Pruner: A Novel Performance-Preserving Structured Pruning Method for Compressing Latent Diffusion Models LDMs

Marktechpost

APRIL 23, 2024

Generative models have emerged as transformative tools across various domains, including computer vision and natural language processing, by learning data distributions and generating samples from them. Among these models, Diffusion Models (DMs) have garnered attention for their ability to produce high-quality images.

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Alibaba AI Researchers Released a New gte-Qwen2-7B-Instruct Embedding Model Based on the Qwen2-7B Model with Better Performance

Marktechpost

JUNE 21, 2024

Text embeddings (TEs) are low-dimensional vector representations of texts of different sizes, which are important for many natural language processing (NLP) tasks. Pre-trained language models, like BERT and GPT, have shown great success in various NLP tasks.

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20 GitHub Repositories to Master Natural Language Processing (NLP)

Combining the Best of Both Worlds: Retrieval-Augmented Generation for Knowledge-Intensive Natural Language Processing

Webinars

Trending Sources

A Comprehensive Guide on i-Transformer

Webinars

Can AI Really Understand Sarcasm? This Paper from NYU Explores Advanced Models in Natural Language Processing

5 Best AI Research Paper Summarizers (May 2024)

Rethinking Reproducibility As the New Frontier in AI Research

Knowledge Fusion of Large Language Models (LLMs)

5 Best Large Language Models (LLMs) (September 2024)

New Neural Model Enables AI-to-AI Linguistic Communication

OpenAI’s first global office will be in London

Salesforce AI Research Introduces the SFR-Embedding Model: Enhancing Text Retrieval with Transfer Learning

Google AI Researchers Introduce MADLAD-400: A 2.8T Token Web-Domain Dataset that Covers 419 Languages

Enhancing Autoregressive Decoding Efficiency: A Machine Learning Approach by Qualcomm AI Research Using Hybrid Large and Small Language Models

A New AI Research Introduces Recognize Anything Model (RAM): A Robust Base Model For Image Tagging

Meta AI Research Introduces MobileLLM: Pioneering Machine Learning Innovations for Enhanced On-Device Intelligence

Meta AI Researchers Propose Advanced Long-Context LLMs: A Deep Dive into Upsampling, Training Techniques, and Surpassing GPT-3.5-Turbo-16k’s Performance

Qualcomm AI Research Proposes the GPTVQ Method: A Fast Machine Learning Method for Post-Training Quantization of Large Networks Using Vector Quantization (VQ)

This AI Research Shares a Comprehensive Overview of Large Language Models (LLMs) on Graphs

Do Language Models Know When They Are Hallucinating? This AI Research from Microsoft and Columbia University Explores Detecting Hallucinations with the Creation of Probes

This AI Research Introduces Owl: A New Large Language Model for IT Operations

Microsoft AI Research Introduces Generalized Instruction Tuning (called GLAN): A General and Scalable Artificial Intelligence Method for Instruction Tuning of Large Language Models (LLMs)

AI trends in 2023: Graph Neural Networks

AI News Weekly - Issue #343: Summer Fiction Reads about AI - Jul 27th 2023

AI News Weekly - Issue #345: Hollywood’s Major Crew Union Debates How to Use AI as Contract Talks Loom - Aug 10th 2023

Apple AI Research Introduces AIM: A Collection of Vision Models Pre-Trained with an Autoregressive Objective

This AI Research Introduces Flash-Decoding: A New Artificial Intelligence Approach Based on FlashAttention to Make Long-Context LLM Inference Up to 8x Faster

EXAONE 3.0 Released: A 7.8B Open-Sourced State of the Art Language Model from LG AI Research

Bridging the Language Gap: A Push for AI Tools for African Languages

Can Large Language Models Really Do Math? This Artificial Intelligence AI Research Introduce MathGLM: A Robust Model To Solve Mathematical Problems Without a Calculator

NVIDIA AI Researchers Explore Upcycling Large Language Models into Sparse Mixture-of-Experts

IBM AI Research Introduces Unitxt: An Innovative Library For Customizable Textual Data Preparation And Evaluation Tailored To Generative Language Models

A New AI Research from Apple and Equall AI Uncovers Redundancies in Transformer Architecture: How Streamlining the Feed Forward Network Boosts Efficiency and Accuracy

Salesforce AI Research Introduces SummHay: A Robust AI Benchmark for Evaluating Long-Context Summarization in LLMs and RAG Systems

Top 10 Influential AI Research Papers in 2023 from Google, Meta, Microsoft, and More

AI Learns from AI: The Emergence of Social Learning Among Large Language Models

The Rise of Time-Series Foundation Models for Data Analysis and Forecasting

A New AI Research Introduces AttrPrompt: A LLM-as-Training-Data-Generator for a New Paradigm in Zero-Shot Learning

DeepSeek AI Researchers Propose Expert-Specialized Fine-Tuning, or ESFT to Reduce Memory by up to 90% and Time by up to 30%

Google AI Research Proposes TRICE: A New Machine Learning Algorithm for Tuning LLMs to be Better at Solving Question-Answering Tasks Using Chain-of-Thought (CoT) Prompting

Top Artificial Intelligence AI Courses from Stanford

Cohere AI Researchers Investigate Overcoming Quantization Cliffs in Large-Scale Machine Learning Models Through Optimization Techniques

Google AI Research Introduces Process Advantage Verifiers: A Novel Machine Learning Approach to Improving LLM Reasoning Capabilities

Nota AI Researchers Introduce LD-Pruner: A Novel Performance-Preserving Structured Pruning Method for Compressing Latent Diffusion Models LDMs

Alibaba AI Researchers Released a New gte-Qwen2-7B-Instruct Embedding Model Based on the Qwen2-7B Model with Better Performance

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