Bugra Akyildiz

MARCH 30, 2024

Before going further, taking a step back to explain the key concepts in Mamba: State: Mamba maintains a state that captures the essential information about the past that is relevant for predicting the next element in the sequence. The logic of the prompt specifies what the LLM should do, while the wording is how the prompt is phrased.

Explainability 52

Explainability Prompt Engineer Prompt Engineering Machine Learning 52

Marktechpost

MAY 29, 2024

Getting Started with Deep Learning This course teaches the fundamentals of deep learning through hands-on exercises in computer vision and natural language processing. Generative AI Explained This course provides an overview of Generative AI, its concepts, applications, challenges, and opportunities.

Neural Network 88

Neural Network Large Language Models Natural Language Processing Prompt Engineer 88

Unite.AI

MAY 16, 2024

Some argue it’s random neuronal activity , others say it’s to process the day’s events and a few claim it’s your unconscious needs and desires surfacing. However, none can help explain the specific meaning behind each of your nighttime visions. Realistically, it’s probably a combination of multiple ideas.

AI 162

AI AI LLM Algorithm 162

John Snow Labs

AUGUST 31, 2023

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

NLP 52

NLP LLM Large Language Models ChatGPT 52

Marktechpost

SEPTEMBER 1, 2023

LLMs have become increasingly popular in the NLP (natural language processing) community in recent years. Scaling neural network-based machine learning models has led to recent advances, resulting in models that can generate natural language nearly indistinguishable from that produced by humans.

Large Language Models 137

Large Language Models Neural Network Natural Language Processing LLM 137

Marktechpost

JULY 20, 2023

Natural language processing (NLP) has seen a paradigm shift in recent years, with the advent of Large Language Models (LLMs) that outperform formerly relatively tiny Language Models (LMs) like GPT-2 and T5 Raffel et al. on a variety of NLP tasks.

LLM 95

LLM AI Researcher AI Research Prompt Engineer 95

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

Chatbots Life

SEPTEMBER 11, 2023

It provides a detailed overview of each library’s unique contributions and explains how they can be combined to create a functional system that can detect and correct linguistic errors in text data. This limitation has paved the way for more advanced solutions that harness the power of Natural Language Processing (NLP).

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NLP Natural Language Processing Python Algorithm 59

Towards AI

SEPTEMBER 6, 2023

Learn to build your own end-to-end production-ready LLM workflows Photo by Brett Jordan on Unsplash In a world increasingly shaped by artificial intelligence, Large Language Models (LLMs) have emerged as the crown jewels of the machine learning realm. We'll use the sentence-transformers # model for out embeddings.

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Large Language Models Natural Language Processing LLM Machine Learning 114

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 105

Large Language Models LLM Big Data Natural Language Processing 105

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.

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Natural Language Processing Chatbots Large Language Models NLP 52

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? .”

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Metadata Explainability Automation AI 179

TheSequence

DECEMBER 13, 2023

Quick bio Lewis Tunstall is a Machine Learning Engineer in the research team at Hugging Face and is the co-author of the bestseller “NLP with Transformers” book. You are the co-author of the Natural Language Processing with Transformers Book. Why another Transformers book, and what sets this one apart?

LLM 64

LLM Natural Language Processing Machine Learning Deep Learning 64

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. If anything, it’s more important.

Prompt Engineer 98

Prompt Engineer Prompt Engineering Large Language Models Software Engineer 98

ODSC - Open Data Science

AUGUST 29, 2023

AI Prompt Engineer An AI Prompt Engineer is a specialized professional at the forefront of the AI and NLP landscape. Natural Language Processing Engineer Natural Language Processing Engineers who specialize in prompt engineering are linguistic architects when it comes to AI communication.

Prompt Engineer 98

Prompt Engineer Prompt Engineering Large Language Models Natural Language Processing 98

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. Consider sentiment analysis, an NLP task that aims to understand the underlying emotion behind text.

Neural Network 354

Neural Network Convolutional Neural Networks Artificial Intelligence Artificial Intelligence 354

IBM Journey to AI blog

AUGUST 1, 2023

A foundation model is built on a neural network model architecture to process information much like the human brain does. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. An open-source model, Google created BERT in 2018. All watsonx.ai

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Generative AI Data Scientist BERT Machine Learning 140

AWS Machine Learning Blog

MARCH 13, 2024

The LLM analysis provides a violation result (Y or N) and explains the rationale behind the model’s decision regarding policy violation. The audio moderation workflow activates the LLM’s policy evaluation only when the toxicity analysis exceeds a set threshold. A policy evaluation report is sent to the human moderator.

LLM 101

LLM Natural Language Processing Prompt Engineer Prompt Engineering 101

AWS Machine Learning Blog

JANUARY 31, 2024

Embeddings play a key role in natural language processing (NLP) and machine learning (ML). Text embedding refers to the process of transforming text into numerical representations that reside in a high-dimensional vector space. Why do we need an embeddings model?

Natural Language Processing 104

Natural Language Processing Machine Learning Computer Vision LLM 104

Mlearning.ai

FEBRUARY 19, 2023

You don’t need to have a PhD to understand the billion parameter language model GPT is a general-purpose natural language processing model that revolutionized the landscape of AI. GPT-3 is a autoregressive language model created by OpenAI, released in 2020 . What is GPT-3?

Auto-classification 52

Auto-classification Natural Language Processing Auto-complete NLP 52

Heartbeat

DECEMBER 5, 2023

Third-generation Tensor Cores have accelerated AI tasks, leading to breakthroughs in image recognition, natural language processing, and speech recognition. While discussing H100, it is also essential to mention TensorRT-LLM. It offers single-precision performance up to 10.6 This is similar to NVIDIA’s official posts.

Natural Language Processing 52

Natural Language Processing LLM Deep Learning NLP 52

Heartbeat

MARCH 19, 2024

Introduction Large language models (LLMs) have emerged as a driving catalyst in natural language processing and comprehension evolution. LLM use cases range from chatbots and virtual assistants to content generation and translation services. Let's look at four tips for scaling LLM workflows with LLMOps.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Natural Language Processing 52

NVIDIA

DECEMBER 13, 2023

Federal Trade Commission called out concerns for the use of LLMs and other technology to simulate human behavior for deep fake videos and voice clones applied in imposter scams and financial fraud. Tackling Model Explainability and Bias GNNs also enable model explainability with a suite of tools.

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Explainability Neural Network Computer Vision Generative AI 103

AWS Machine Learning Blog

AUGUST 7, 2023

It will explain the thought process and experimentation behind the solution, including the model training and development process. Part 2 will delve into the productionized solution, explaining the design decisions, data flow, and illustration of the model training and deployment architecture.

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Large Language Models LLM BERT ML 73

Heartbeat

SEPTEMBER 19, 2023

This article will discuss navigating the Comet LLMOps tool, the new LLM SDK, and much more. Working with Comet LLM To use this tool, we need to have an account with Comet — an MLOps platform designed to help data scientists and ML teams build better models faster! Create a new LLM project in Comet. Let’s get started!

Large Language Models 52

Large Language Models Metadata LLM Data Scientist 52

AWS Machine Learning Blog

MAY 22, 2024

Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the way ecommerce platforms operate. We use a version of BLIP-2, that contains Flan-T5-XL as the LLM.

Generative AI 103

Generative AI Natural Language Processing Machine Learning Large Language Models 103

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 91

Large Language Models BERT Natural Language Processing Categorization 91

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. Today, LLMs are taking question-answering systems to a whole new level.

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LLM Generative AI AI Modeling Neural Network 133

ODSC - Open Data Science

AUGUST 24, 2023

The advent of Transformer Architecture has indeed revolutionized the field of Natural Language Processing (NLP) by introducing a design that efficiently harnesses both data and computing power. Prompt Engineering: The goal is to steer the LLMs through refined prompts for effective instruction understanding and execution.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Responsible AI 52

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

AWS Machine Learning Blog

SEPTEMBER 5, 2023

In this post, we introduce a novel method to perform content moderation on image data with multi-modal pre-training and a large language model (LLM). We use the powerful generating capability of LLMs to generate the final decision including safe/unsafe labels and category type.

Generative AI 89

Generative AI LLM ML Computer Vision 89

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

JULY 26, 2023

Prompt Engineering is the art of crafting precise, effective prompts/input to guide AI ( NLP /Vision) models like ChatGPT toward generating the most cost-effective, accurate, useful, and safe outputs. It's a blend of: Understanding of the LLM: Different language models may respond variably to the same prompt.

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Prompt Engineer Prompt Engineering ChatGPT Large Language Models 246

Allen AI

MAY 11, 2023

“With the scientific community in mind, OLMo will be purpose-built to advance the science of language models,” says Hannaneh Hajishirzi , an OLMo project lead, a senior director of NLP research at AI2, and a professor at the University of Washington’s Allen School of Computer Science & Engineering.

Natural Language Processing 69

Natural Language Processing Large Language Models NLP AI Researcher 69

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 108

Prompt Engineer Prompt Engineering Artificial Intelligence Artificial Intelligence 108

AWS Machine Learning Blog

AUGUST 14, 2023

In this post and accompanying notebook, we demonstrate how to deploy the BloomZ 176B foundation model using the SageMaker Python simplified SDK in Amazon SageMaker JumpStart as an endpoint and use it for various natural language processing (NLP) tasks.

NLP 69

NLP Robotics Prompt Engineer Prompt Engineering 69

ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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Responsible AI Deep Learning Data Science Machine Learning 52