AWS Machine Learning Blog

FEBRUARY 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. Monitoring the performance and behavior of LLMs is a critical task for ensuring their safety and effectiveness.

Large Language Models 112

Large Language Models LLM Big Data Natural Language Processing 112

Mlearning.ai

JUNE 14, 2023

Learning Large Language Models The LLM (Foundational Models) space has seen tremendous and rapid growth. I used this foolproof method of consuming the right information and ended up publishing books , artworks , Podcasts and even an LLM powered consumer facing app ranked #40 on the app store. With so much information out there.

Neural Network 52

Neural Network Large Language Models BERT Natural Language Processing 52

Towards AI

AUGUST 7, 2023

I experimented with breaking LLM safety. GPT4 explained to me how to hurt someone. In recent years, Large Language Models (LLMs) have revolutionized various industries, from natural language processing to creative writing and customer service. Originally published on Towards AI.

Natural Language Processing 76

Natural Language Processing Large Language Models Explainability LLM 76

Marktechpost

SEPTEMBER 12, 2023

With the constant advancements in the field of Artificial Intelligence, its subfields, including Natural Language Processing, Natural Language Generation, Natural Language Understanding, and Computer Vision, are getting significantly popular. Secondly, it provides an Iterative Solution Generation.

Large Language Models 120

Large Language Models Natural Language Processing Computer Vision Artificial Intelligence 120

IBM Journey to AI blog

OCTOBER 16, 2023

The rise of the foundation model ecosystem (which is the result of decades of research in machine learning), natural language processing (NLP) and other fields, has generated a great deal of interest in computer science and AI circles. ” Are foundation models trustworthy? .”

Metadata 193

Metadata Explainability Automation AI 193

NVIDIA

MARCH 18, 2024

Generative AI for Automotive in Full Force at GTC Several NVIDIA partners at GTC are also showcasing their latest generative AI developments using NVIDIA’s edge-to-cloud technology: Cerence’s CaLLM is an automotive-specific LLM that serves as the foundation for the company’s next-gen in-car computing platform, running on NVIDIA DRIVE.

Generative AI 98

Generative AI AI Developer AI Development Auto-complete 98

Marktechpost

AUGUST 12, 2023

ChatGPT and other large language models (LLMs) have shown impressive generalization abilities, but their training and inference costs are often prohibitive. As a result, instruction tuning has gained popularity as a method for condensing LLMs into more affordable and transparent student models.

Large Language Models 96

Large Language Models AI Modeling LLM Natural Language Processing 96

John Snow Labs

JANUARY 29, 2024

Several such case studies were presented by the US Veteran’s Administration , ClosedLoop , and WiseCube at John Snow Labs’ annual Natural Language Processing (NLP) Summit , now the world’s largest gathering of applied NLP and LLM practitioners.

Natural Language Processing 52

Natural Language Processing Chatbots Large Language Models NLP 52

Heartbeat

JANUARY 9, 2024

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). The way we create and manage AI-powered products is evolving because of LLMs.

Large Language Models 52

Large Language Models Natural Language Processing LLM Machine Learning 52

Unite.AI

MAY 31, 2023

Since LLM neurons offer rich connections that can express more information, they are smaller in size compared to regular NNs. Hence, it becomes easier for researchers to explain how an LNN reached a decision. Hence, LNNs don’t require vast amounts of labeled training data to generate accurate results.

Neural Network 354

Neural Network Convolutional Neural Networks Artificial Intelligence Artificial Intelligence 354

Flipboard

JULY 10, 2023

To address this issue, scientists proposed ‘MathPrompter,’ which enhances LLM performance on mathematical problems and increases reliance on forecasts. It uses deep learning algorithms and natural language processing techniques to understand and interpret math problems, then generates a solution explaining each process step.

Large Language Models 65

Large Language Models Deep Learning Natural Language Processing BERT 65

ODSC - Open Data Science

SEPTEMBER 19, 2023

Engineers provide insights into the technical feasibility and challenges of proposed features, scientists contribute their understanding of NLP techniques, and product managers bring the user perspective, helping to shape the direction of LLM development.

Prompt Engineer 98

Prompt Engineer Prompt Engineering Large Language Models Software Engineer 98

ODSC - Open Data Science

AUGUST 24, 2023

Be sure to check out their talk, “Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices,” there! Prompt Engineering: The goal is to steer the LLMs through refined prompts for effective instruction understanding and execution. are harnessed to channel LLMs output.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Responsible AI 52

Marktechpost

JULY 4, 2023

Natural language processing (NLP) activities, including speech-to-text, sentiment analysis, text summarization, spell-checking, token categorization, etc., rely on Language Models as their foundation. Unigrams, N-grams, exponential, and neural networks are valid forms for the Language Model.

Large Language Models 92

Large Language Models BERT Natural Language Processing Categorization 92

Heartbeat

FEBRUARY 29, 2024

After closely observing the software engineering landscape for 23 years and engaging in recent conversations with colleagues, I can’t help but feel that a specialized Large Language Model (LLM) is poised to power the following programming language revolution.

Software Engineer 52

Software Engineer Software Development LLM Large Language Models 52

NVIDIA

NOVEMBER 15, 2023

The paper, with coauthors from the former Facebook AI Research (now Meta AI), University College London and New York University, called RAG “a general-purpose fine-tuning recipe” because it can be used by nearly any LLM to connect with practically any external resource.

LLM 136

LLM Generative AI AI Modeling Neural Network 136

Towards AI

FEBRUARY 13, 2024

Leading this revolution is ChatGPT, a state-of-the-art large language model (LLM) developed by OpenAI. As a large language model, ChatGPT is built on a vast dataset of language examples, enabling it to understand and generate human-like text with remarkable accuracy. Examples: “Explain the solar system.

Prompt Engineer 92

Prompt Engineer Prompt Engineering ChatGPT Large Language Models 92

Unite.AI

APRIL 17, 2024

In recent years, Natural Language Processing (NLP) has undergone a pivotal shift with the emergence of Large Language Models (LLMs) like OpenAI's GPT-3 and Google’s BERT. Using their extensive training data, LLM-based agents deeply understand language patterns, information, and contextual nuances.

LLM 236

LLM BERT Natural Language Processing NLP 236

Marktechpost

JULY 4, 2023

For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions and generate information on an extensive range of topics. It can translate multiple languages, generate unique and creative user-specific content, summarize long text paragraphs, etc.

Prompt Engineer 111

Prompt Engineer Prompt Engineering Artificial Intelligence Artificial Intelligence 111

ODSC - Open Data Science

AUGUST 29, 2023

Natural Language Processing Engineer Natural Language Processing Engineers who specialize in prompt engineering are linguistic architects when it comes to AI communication. As AI models become more sophisticated and versatile, the demand for tailored, context-aware interactions grows.

Prompt Engineer 98

Prompt Engineer Prompt Engineering Large Language Models Natural Language Processing 98

Bugra Akyildiz

APRIL 20, 2024

The initial version of the Text-to-SQL solution relied on an LLM as the core component. This information, along with the specific SQL dialect used at Pinterest, would then be compiled into a prompt and fed into the LLM. The LLM would then generate the SQL code to address the user's question.

LLM 52

LLM Natural Language Processing NLP Big Data 52

Marktechpost

JULY 23, 2023

Incredibly, LLMs have proven to match with human values, providing helpful, honest, and harmless responses. In particular, this capability has been greatly enhanced by methods that fine-tune a pretrained LLM on various tasks or user preferences, such as instruction tuning and reinforcement learning from human feedback (RLHF).

AI Researcher 96

AI Researcher AI Research LLM Natural Language Processing 96

ODSC - Open Data Science

JANUARY 29, 2024

Fine-tuning is important for applying domain-specific knowledge to an existing LLM which provides better performance and prompt results Inference Efficiency An emergent skill in late 2023, its inclusion speaks to its importance. This enhances the context awareness and factual accuracy of LLM outputs.

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Data Science 52

John Snow Labs

AUGUST 31, 2023

In the ever-evolving world of Natural Language Processing, staying ahead of the curve is paramount. we’re taking a leap forward by integrating one of the most advanced Large Language Models (LLMs) available today: Open AI’s GPT models. With the release of NLP Lab 5.3,

NLP 52

NLP LLM Large Language Models ChatGPT 52

IBM Journey to AI blog

APRIL 18, 2024

AI systems like LaMDA and GPT-3 excel at generating human-quality text, accomplishing specific tasks, translating languages as needed, and creating different kinds of creative content. Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles.

Neural Network 239

Neural Network LLM AI AI 239

Heartbeat

JANUARY 18, 2024

Understanding Llama v2 Llama 2, a natural language processing library from Meta, consists of pre-trained and fine-tuned large language models (LLMs) whose scale ranges from 7 billion to 70 billion parameters. An open-source model that is just as good as GPT 3.5 or even GPT 4? We’re yet to know. On the utils.py

LLM 52

LLM Chatbots Large Language Models Python 52

ODSC - Open Data Science

MARCH 11, 2024

You’ll also explore the current state of LLMs, their applications, and the future landscape of these models. You will learn how to responsibly design human-in-the-loop review processes, monitor bias, build trust transparency, and develop explainable machine learning systems to ensure data and model security.

Responsible AI 52

Responsible AI Deep Learning Data Science Machine Learning 52

Towards AI

FEBRUARY 15, 2023

Alphabet Stock Plunge Erases $100 Billion After New AI Chatbot Gives Wrong Answer In Ad Questions were raised about whether Alphabet rushed the release of its new Bard LLM after promotional material contained inaccurate information. This article explains why. […] Hottest News 1.

Large Language Models 88

Large Language Models Prompt Engineer Prompt Engineering AI Chatbots 88

ODSC - Open Data Science

AUGUST 24, 2023

Get Started with NLP With Our New Introduction to NLP Course Gain the skills needed to start a successful career in natural language processing with our new introduction to NLP course! From natural language search to recommendation systems, Zain unveils the power of these vectors in enhancing search accuracy and efficiency.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Data Science Data Scientist 52

AWS Machine Learning Blog

FEBRUARY 29, 2024

The Retrieve API takes the incoming query, converts it into an embedding vector, and queries the backend store using the algorithms configured at the vector database level; the RetrieveAndGenerate API uses a user-configured LLM provided by Amazon Bedrock and generates the final answer in natural language.

Machine Learning 113

Machine Learning Computer Vision Generative AI Explainability 113

Heartbeat

OCTOBER 5, 2023

The emergence of Large Language Models (LLMs) like OpenAI's GPT , Meta's Llama , and Google's BERT has ushered in a new era in this field. These LLMs can generate human-like text, understand context, and perform various Natural Language Processing (NLP) tasks.

Large Language Models 52

Large Language Models DevOps Prompt Engineer Prompt Engineering 52

Heartbeat

FEBRUARY 28, 2024

We will be handling an interactive Question Answering System using Comet and Gradio: For starters, below is a systematic approach to building a question-answering system that integrates state-of-the-art NLP models with interactive web interfaces and leverages Comet LLM for logging and analyzing interactions.

Machine Learning 52

Machine Learning Data Scientist LLM ML 52

Snorkel AI

SEPTEMBER 21, 2023

Natural language processing ( NLP ) and computer vision can capture values specific to the trial subject that help identify or exclude potential participants, creating alignment across different systems and document types. They can be limited in their multi-modality, and they can be difficult to explain, adapt, or control.

BERT 64

BERT Data Scientist AI AI 64

AWS Machine Learning Blog

OCTOBER 5, 2023

Recently, Meta released Llama 2 for both researchers and commercial entities, adding to the list of other LLMs, including MosaicML MPT and Falcon. In this post, we walk through how to fine-tune Llama 2 on AWS Trainium , a purpose-built accelerator for LLM training, to reduce training times and costs.

Machine Learning 97

Machine Learning Big Data Deep Learning Natural Language Processing 97

Snorkel AI

SEPTEMBER 21, 2023

Natural language processing ( NLP ) and computer vision can capture values specific to the trial subject that help identify or exclude potential participants, creating alignment across different systems and document types. They can be limited in their multi-modality, and they can be difficult to explain, adapt, or control.

BERT 59

BERT Data Scientist AI AI 59

Heartbeat

JANUARY 26, 2024

In this experiment, I’ll use Comet LLM to record prompts, responses, and metadata for each memory type for performance optimization purposes. Comet LLM provides additional features such as UI visualization, detailed chain execution logs, automatic tracking with OpenAI chat model, and user feedback analysis. . How about you?

Metadata 52

Metadata LLM OpenAI Chatbots 52

AWS Machine Learning Blog

JUNE 13, 2023

Solution overview A modern data architecture on AWS applies artificial intelligence and natural language processing to query multiple analytics databases. LangChain, a tool to work with LLMs and prompts, is used in Studio notebooks. LangChain requires an LLM to be defined.

Generative AI 72

Generative AI Metadata LLM Large Language Models 72