Marktechpost

APRIL 6, 2024

TRIZ is a knowledge-based ideation methodology that provides a structured framework for engineering problem-solving by identifying and overcoming technical contradictions using inventive principles derived from a large-scale patent database. If you like our work, you will love our newsletter.

Large Language Models 136

Large Language Models Automation Natural Language Processing Categorization 136

Marktechpost

FEBRUARY 3, 2024

In natural language processing, the quest for precision in language models has led to innovative approaches that mitigate the inherent inaccuracies these models may present. Its development underscores a pivotal shift towards models that generate fluent text and do so with unprecedented factual integrity.

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Marktechpost

MAY 4, 2024

It has revolutionized domains such as image recognition, natural language processing, and personalized recommendations. One of the major challenges facing machine learning is the opacity surrounding how models make decisions. If you like our work, you will love our newsletter.

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Large Language Models Machine Learning Natural Language Processing Artificial Intelligence 132

Marktechpost

MARCH 24, 2024

Large Language Models (LLMs) have been at the forefront of advancements in natural language processing, demonstrating remarkable abilities in understanding and generating human language. If you like our work, you will love our newsletter.

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Large Language Models Natural Language Processing Automation ML 122

Marktechpost

OCTOBER 10, 2024

Artificial intelligence has made remarkable strides with the development of Large Language Models (LLMs), significantly impacting various domains, including natural language processing, reasoning, and even coding tasks. The Archon framework sets a new standard for optimizing LLMs.

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Large Language Models Machine Learning Automation LLM 119

AssemblyAI

SEPTEMBER 18, 2023

However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs). Large language models can be an intimidating topic to explore, especially if you don't have the right foundational understanding. What Is a Large Language Model?

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Marktechpost

MARCH 3, 2024

Large Language Models (LLMs) such as GPT-4, Gemini, and Llama-2 are at the forefront of a significant shift in data annotation processes, offering a blend of automation, precision, and adaptability previously unattainable with manual methods. Check out the Paper.

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Marktechpost

MARCH 7, 2024

Traditionally, this domain has been navigated with algorithms that map out potential action sequences toward an optimal solution, critical for applications ranging from robotics to automated decision-making systems. Yet, a significant hurdle has been the limitations of large language models (LLMs) in these planning tasks.

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Unite.AI

FEBRUARY 7, 2024

MLOps are practices that automate and simplify ML workflows and deployments. MLOps make ML models faster, safer, and more reliable in production. But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs). However, LLMs are also very different from other models.

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Machine Learning Large Language Models LLM BERT 288

Marktechpost

MAY 21, 2024

Conventional methods of obfuscation in the literature on Natural Language Processing (NLP) have frequently been restricted to certain environments and have depended on basic, surface-level modifications. Both automatic measurements and human reviews demonstrate that this strategy maintains good text quality.

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Large Language Models Natural Language Processing NLP Automation 126

Mlearning.ai

MAY 5, 2023

A basic introduction to large language models and their emergence Source: Here “GPT is like alchemy!”  — Ilya Sutskever, chief scientist of OpenAI WE CAN CONNECT ON :| LINKEDIN | TWITTER | MEDIUM | SUBSTACK | In recent years, there has been a great deal of buzz surrounding large language models, or LLMs for short.

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IBM Journey to AI blog

NOVEMBER 13, 2023

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

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Marktechpost

JULY 4, 2023

Computer programs called large language models provide software with novel options for analyzing and creating text. It is not uncommon for large language models to be trained using petabytes or more of text data, making them tens of terabytes in size. rely on Language Models as their foundation.

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Large Language Models BERT Natural Language Processing Categorization 105

Marktechpost

JANUARY 8, 2024

In Large Language Models (LLMs), models like ChatGPT represent a significant shift towards more cost-efficient training and deployment methods, evolving considerably from traditional statistical language models to sophisticated neural network-based models.

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Large Language Models Natural Language Processing Neural Network Automation 119

Marktechpost

MARCH 4, 2024

From producing writing that resembles that of a human being to comprehending subtleties of language, Large Language Models (LLMs) have played a key role in attaining state-of-the-art performance in various Natural Language Processing (NLP) applications.

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Large Language Models NLP Natural Language Processing LLM 111

Marktechpost

AUGUST 15, 2023

Large language models (LLMs) have achieved amazing results in a variety of Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG) tasks in recent years.

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Large Language Models Categorization LLM Natural Language Processing 98

Marktechpost

SEPTEMBER 25, 2023

Large Language Models (LLMs) have made significant progress in text creation tasks, among other natural language processing tasks. However, LLMs continue to do poorly in producing complicated structured outputs a crucial skill for various applications, from automated report authoring to coding help.

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Large Language Models LLM Natural Language Processing Categorization 130

Marktechpost

OCTOBER 2, 2024

Large Language Models (LLMs) have made significant strides in various Natural Language Processing tasks, yet they still struggle with mathematics and complex logical reasoning. However, LLMs often exhibit unfaithful reasoning, where conclusions don’t align with the generated reasoning chain.

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Large Language Models Natural Language Processing LLM Python 111

Unite.AI

JUNE 6, 2023

& GPT-4 large language models (LLMs), has generated significant excitement within the Artificial Intelligence (AI) community. AutoGPT can gather task-related information from the internet using a combination of advanced methods for Natural Language Processing (NLP) and autonomous AI agents.

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Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. What are Large Language Models and Why are They Important? Cohere provides a studio for automating LLM workflows with a GUI, REST API and Python SDK.

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Large Language Models Prompt Engineer Prompt Engineering LLM 100

IBM Journey to AI blog

JUNE 19, 2024

Of all the use cases, many of us are now extremely familiar with natural language processing AI chatbots that can answer our questions and assist with tasks such as composing emails or essays. According to research from IBM ®, about 42 percent of enterprises surveyed have AI in use in their businesses.

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Marktechpost

JANUARY 2, 2024

Recent advances in the field of Artificial Intelligence (AI) and Natural Language Processing (NLP) have led to the introduction of Large Language Models (LLMs). A thorough assessment of the performance of agent systems using both automated and human-centered methods has been conducted.

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Large Language Models Natural Language Processing LLM Artificial Intelligence 105

Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Context-Aware Data Extraction LLMs possess strong contextual understanding, honed through extensive training on large datasets.

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AI News

OCTOBER 18, 2024

Decentralised AI systems built on blockchains can help to democratise access to essential AI resources like computing power, data, and large language models. They are sorely needed too; as AI models become more powerful, their thirst for data and computing power grows, increasing the barrier of entry to the industry.

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Marktechpost

AUGUST 28, 2024

Sarcasm detection is a critical challenge in natural language processing (NLP) because of sarcastic statements’ nuanced and often contradictory nature. Unlike straightforward language, sarcasm involves saying something that appears to convey one sentiment while implying the opposite.

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Large Language Models Deep Learning Natural Language Processing NLP 105

AssemblyAI

JANUARY 12, 2024

AI Speech-to-Text is also a critical foundation for other AI-powered applications that process or interact with speech data, including Audio Intelligence , Generative AI, and Large Language Models.  It lets you quickly try out and build with the latest models in Natural Language Processing (NLP).

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Large Language Models Python Natural Language Processing NLP 275

Unite.AI

FEBRUARY 1, 2024

It’s not even about Siri or Alexa, but the good old ELIZA, one of the first examples of Natural Language Processing , who would be a 57-year-old lady now. The other factor, expected to limit Generative AI in the future, ironically is the growing size of large language models. Employee AI assistant (i.e.

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Marktechpost

JUNE 10, 2024

Natural language processing (NLP) involves using algorithms to understand and generate human language. This field covers language translation, sentiment analysis, and language generation, providing essential tools for technological advancements and human-computer interaction.

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Large Language Models NLP Natural Language Processing Algorithm 105

Unite.AI

OCTOBER 30, 2024

There were rapid advancements in natural language processing with companies like Amazon, Google, OpenAI, and Microsoft building large models and the underlying infrastructure. ” Another could be the automated scoring of quality scorecards to evaluate agent performance.

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Marktechpost

JUNE 22, 2024

While decision support systems have been developed to aid the latter two steps, the crucial first step of planning the required analysis has remained a human-driven process. Automating this step and enabling end-to-end decision-making without human intervention poses significant challenges in the current methodologies.

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Unite.AI

DECEMBER 23, 2024

This automation not only streamlines repetitive processes but also allows human workers to focus on more strategic and creative activities. Today, AI agents are playing an important role in enterprise automation, delivering benefits such as increased efficiency, lower operational costs, and faster decision-making.

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Marktechpost

JULY 1, 2023

Large Language Models (LLMs) have proven to be really effective in the fields of Natural Language Processing (NLP) and Natural Language Understanding (NLU). ToolQA involves three automated phases: Reference Data Collection, Human-guided Question Generation, and Programmatic Answer Generation.

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Large Language Models Natural Language Processing BERT AI Tools 105

AWS Machine Learning Blog

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

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AI Weekly

DECEMBER 14, 2023

These chatbots are powered by large language models (LLMs) that can generate human-quality text, translate languages, write creative content, and provide informative answers to your questions. Many of the services only work on women. cnet.com The limitations of being human got you down?

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Marktechpost

MAY 13, 2024

Tokenization is essential in computational linguistics, particularly in the training and functionality of large language models (LLMs). This process involves dissecting text into manageable pieces or tokens, which is foundational for model training and operations. Check out the Paper.

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Automation Computational Linguistics Large Language Models Natural Language Processing 110

IBM Journey to AI blog

FEBRUARY 13, 2024

They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity. Automate tedious, repetitive tasks. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Best practices are evolving rapidly.

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Marktechpost

JUNE 23, 2024

Natural language processing has greatly improved language model finetuning. This process involves refining AI models to perform specific tasks more effectively by training them on extensive datasets. This approach reduces costs and bridges the gap between academic and industrial practices.

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