Marktechpost

JANUARY 17, 2024

The field of natural language processing has been transformed by the advent of Large Language Models (LLMs), which provide a wide range of capabilities, from simple text generation to sophisticated problem-solving and conversational AI. All credit for this research goes to the researchers of this project.

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AssemblyAI

FEBRUARY 6, 2024

Speech AI typically refers to three groups of AI models that help users understand speech or spoken data: Automatic Speech Recognition (ASR), Audio Intelligence, and Large Language Models (LLMs). Automatic Speech Recognition, or ASR , models are used to transcribe human speech into readable text.

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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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Topbots

AUGUST 31, 2023

With the rush to adopt generative AI to stay competitive, many businesses are overlooking key risks associated with LLM-driven applications. Sign up for more AI research updates. 15077 The post LLM Safety Checklist: Avoiding the Hidden Traps in Large Language Model Applications appeared first on TOPBOTS.

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Marktechpost

MAY 29, 2024

Each model has distinct capabilities and applications, reflecting Google’s research in the LLM world to push the boundaries of AI technology. Gemini: Google’s Multimodal Marvel Gemini represents the pinnacle of Google’s AI research, developed by Google DeepMind.

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Topbots

JANUARY 30, 2023

400k AI-related online texts since 2021) Disclaimer: This article was written without the support of ChatGPT. In the last couple of years, Large Language Models (LLMs) such as ChatGPT, T5 and LaMDA have developed amazing skills to produce human language. Faithful Reasoning Using Large Language Models.

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Marktechpost

JULY 24, 2023

Conversational AI has witnessed significant advancements in recent years, enabling human-like interactions between machines and users. One of the key components driving this progress is the availability of large and diverse datasets, which serve as the backbone for training sophisticated language models.

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AssemblyAI

FEBRUARY 22, 2024

Speech AI for call tracking  Thanks to recent advances in Artificial Intelligence (AI) research, Automatic Speech Recognition, or ASR , models today are more accessible, affordable, and accurate. Sentiment Analysis models automatically label speech segments in a transcription text as positive, negative, or neutral.

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Topbots

DECEMBER 19, 2023

Generated with Midjourney The NeurIPS 2023 conference showcased a range of significant advancements in AI, with a particular focus on large language models (LLMs), reflecting current trends in AI research. These awards highlight the latest achievements and novel approaches in AI research.

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Marktechpost

DECEMBER 12, 2023

Thanks to the success in increasing the data, model size, and computational capacity for auto-regressive language modeling, conversational AI agents have witnessed a remarkable leap in capability in the last few years. All credit for this research goes to the researchers of this project.

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AssemblyAI

AUGUST 3, 2023

The rise of Large Language Models (LLMs) is revolutionizing how we interact with technology. Today, ChatGPT and other LLMs can perform cognitive tasks involving natural language that were unimaginable a few years ago. The exploding popularity of conversational AI tools has also raised serious concerns about AI safety.

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Marktechpost

NOVEMBER 13, 2024

Forge Reasoning API Beta and Nous Chat Nous Research introduces two new projects: the Forge Reasoning API Beta and Nous Chat, a simple chat platform featuring the Hermes language model. Impact These technical advancements are crucial because they address the efficiency and scalability issues plaguing many modern language models.

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Topbots

DECEMBER 5, 2023

Generated with DALL-E 3 In the rapidly evolving landscape of Natural Language Processing, 2023 emerged as a pivotal year, witnessing groundbreaking research in the realm of Large Language Models (LLMs). Where to learn more about this research? Where to learn more about this research?

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Topbots

APRIL 11, 2023

If you’d like to skip around, here are the language models we featured: BERT by Google GPT-3 by OpenAI LaMDA by Google PaLM by Google LLaMA by Meta AI GPT-4 by OpenAI If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be alerted when we release new material.

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Marktechpost

AUGUST 24, 2024

The release of DocChat by Cerebras marks a major milestone in document-based conversational question-answering systems. Cerebras, known for its deep expertise in machine learning (ML) and large language models (LLMs), has introduced two new models under the DocChat series: Cerebras Llama3-DocChat and Cerebras Dragon-DocChat.

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ODSC - Open Data Science

FEBRUARY 14, 2023

It is the latest in the research lab’s lineage of large language models using Generative Pre-trained Transformer (GPT) technology. Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI.

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Marktechpost

JANUARY 27, 2024

Multimodal models are very useful, and researchers are putting a lot of emphasis on these nowadays as they help mirror the complexity of human cognition by integrating diverse data sources such as text and images. Also, these models are valuable in various applications in multiple domains.

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NVIDIA

FEBRUARY 14, 2024

The gulf crosses continents for Valle, a native of Brazil whose wife and family speak Gujarati, a language popular in west India. It’s a problem I face every day,” said Valle, an AI researcher with degrees in computer music and machine listening and improvisation. We’ve tried many products to help us have clearer conversations.”

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ODSC - Open Data Science

APRIL 11, 2023

Speaker: Akash Tandon, Co-Founder and Co-author of Advanced Analytics with PySpark | Looppanel and O’Reilly Media Self-Supervised and Unsupervised Learning for Conversational AI and NLP Self-supervised and Unsupervised learning techniques such as Few-shot and Zero-shot learning are changing the shape of AI research and product community.

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Marktechpost

DECEMBER 19, 2023

Natural language processing, conversational AI, time series analysis, and indirect sequential formats (such as pictures and graphs) are common examples of the complicated sequential data processing jobs involved in these. All credit for this research goes to the researchers of this project.

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Marktechpost

NOVEMBER 5, 2023

In conversational AI, evaluating the Theory of Mind (ToM) through question-answering has become an essential benchmark. All Credit For This Research Goes To the Researchers on This Project. However, passive narratives need to improve in assessing ToM capabilities. If you like our work, you will love our newsletter.

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LLM Conversational AI AI Researcher AI Research 128

Towards AI

JANUARY 2, 2024

This has quickly become the most prominent legal case in the ongoing debate on the intersection of AI technology and intellectual property rights. Major AI breakthroughs over the past two years have been driven, in particular, by transformer-based large language models, diffusion models, and, more recently, graph neural networks.

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Topbots

JUNE 17, 2024

Research is a cornerstone of innovation, whether it’s for academic pursuits, business strategies, or personal projects. The landscape of research tools has been revolutionized by AI, particularly through the power of large language models (LLMs). Sign up for more AI research updates.

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NVIDIA

AUGUST 31, 2023

The large language model ( LLM ) trained on two popular blockchain languages so it can help developers quickly draft smart contracts, a Web3 market that International Data Corp. projects could hit $19 billion next year.

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Generative AI LLM Software Engineer AI 130

Marktechpost

JUNE 11, 2023

There is a lot of potentials for conversational generative AI to help medical professionals, but so far, the research has only focused on text. Don’t forget to join our 23k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

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AI Tools AI AI Conversational AI 122

Topbots

APRIL 29, 2024

Simple next-token generation, the foundational technique of large language models (LLMs), is usually insufficient for tackling complex reasoning tasks. To address this limitation, various research teams have explored innovative methodologies aimed at enhancing the reasoning capabilities of LLMs.

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NVIDIA

JUNE 12, 2024

This is the kind of horsepower needed to handle AI-assisted digital content creation, AI super resolution in PC gaming, generating images from text or video, querying local large language models (LLMs) and more. LLM performance is measured in the number of tokens generated by the model. Source: Jan.ai

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TheSequence

NOVEMBER 3, 2024

. 📝 Editorial: Robotics is Inching Towards it ChatGPT Moment The field of AI robotics is currently experiencing a surge in innovation, with researchers developing new techniques and technologies that are pushing the boundaries of what robots can do. 📡AI Radar Agentic platform Devrev raised a $100 million Series A.

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Topbots

JULY 6, 2023

If you’d like to skip around, here are the language models we featured: GPT-3 by OpenAI LaMDA by Google PaLM by Google Flamingo by DeepMind BLIP-2 by Salesforce LLaMA by Meta AI GPT-4 by OpenAI If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be alerted when we release new material.

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LLM Large Language Models Natural Language Processing OpenAI 52

Topbots

OCTOBER 4, 2023

Generated with Bing and edited with Photoshop Predictive AI has been driving companies’ ROI for decades through advanced recommendation algorithms, risk assessment models, and fraud detection tools. However, the recent surge in generative AI has made it the new hot topic. Sign up for more AI research updates.

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Topbots

NOVEMBER 25, 2024

High-resolution samples from Stability AI’s 8B rectified flow model In this article, we delve into ten groundbreaking research papers that expand the frontiers of AI across diverse domains, including large language models, multimodal processing, video generation and editing, and the creation of interactive environments.

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Topbots

JULY 2, 2024

He pointed out that this vision is the driving force behind Gemini, an AI designed to be multimodal from inception, capable of handling a diverse range of tasks and interactions. However, like other large language models, it remains prone to mistakes and hallucinations, limiting its use in tasks where accuracy is paramount.

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Topbots

MAY 13, 2024

While it has made significant strides in embedding AI functionality natively into its applications, there is still room for improvement, particularly in enhancing the interconnectedness of these applications and stabilizing performance. Sign up for more AI research updates. Enjoy this article?

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Topbots

DECEMBER 19, 2023

The NeurIPS 2023 conference, held in the vibrant city of New Orleans from December 10th to 16th, had a particular emphasis on generative AI and large language models (LLMs). One of the core themes of this year’s conference was the quest for more efficient AI systems. Sign up for more AI research updates.

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ODSC - Open Data Science

AUGUST 7, 2023

This came with rapid innovation due to new technologies, further unlocking the power of AI. Since then, companies like Google, Facebook, and Tesla have been investing heavily in AI research, and they have made significant progress in developing new AI technologies.

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AWS Machine Learning Blog

JUNE 25, 2024

Large language models (LLMs) enable remarkably human-like conversations, allowing builders to create novel applications. NVIDIA NeMo with Amazon Bedrock NVIDIA’s NeMo is an open-source toolkit that provides programmable guardrails for conversational AI systems powered by LLMs.

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Topbots

JUNE 15, 2023

Large language models such as ChatGPT process and generate text sequences by first splitting the text into smaller units called tokens. Over a hundred years ago, telegraphy, a revolutionary technology of its time (“the internet of its era”), faced language inequities similar to those we see in today’s large language models.

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