AssemblyAI

MAY 23, 2023

ChatGPT is part of a group of AI systems called Large Language Models (LLMs) , which excel in various cognitive tasks involving natural language. Large Language Models In recent years, LLM development has seen a significant increase in size, as measured by the number of parameters.

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Large Language Models Neural Network LLM Chatbots 130

Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 132

Unite.AI

DECEMBER 27, 2023

OpenAI's GPT-4 stands as a state-of-the-art generative language model, boasting an impressive over 1.7 trillion parameters, making it one of the largest language models ever created. Its applications range from chatbots to content creation and language translation.

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Generative AI Chatbots Large Language Models OpenAI 217

Marktechpost

APRIL 1, 2024

Although large language models (LLMs) had been developed prior to the launch of ChatGPT, the latter’s ease of accessibility and user-friendly interface took the adoption of LLM to a new level. It provides codes for working with various models, such as GPT-4, BERT, T5, etc., and explains how they work.

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ChatGPT Prompt Engineer Prompt Engineering Large Language Models 119

Towards AI

DECEMBER 28, 2023

Here are 11 pillars for building expertise in GenAI: Basics of Python- Python serves as a prominent programming language for working with large language models (LLMs) due to its versatility, extensive libraries, and community support. Mitesh Khapra courses.ai4bharat.org 4. Mitesh Khapra courses.ai4bharat.org 7.

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Large Language Models Natural Language Processing Prompt Engineer Prompt Engineering 122

Marktechpost

APRIL 16, 2024

Quick Start Guide to Large Language Models This book guides how to work with, integrate, and deploy LLMs to solve real-world problems. The book covers the inner workings of LLMs and provides sample codes for working with models like GPT-4, BERT, T5, LLaMA, etc.

Large Language Models 105

Large Language Models Auto-complete Prompt Engineer Prompt Engineering 105

IBM Journey to AI blog

FEBRUARY 13, 2024

This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Generative adversarial networks (GANs) or variational autoencoders (VAEs) are used for images, videos, 3D models and music. Autoregressive models or large language models (LLMs) are used for text and language.

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Generative AI AI AI Chatbots 343

ODSC - Open Data Science

NOVEMBER 4, 2024

Introduction — Bridging the Gap Between Prototype and Production Working with AI has never been more approachable than since the advent of aligned, pre-trained Large Language Models (LLMs) like GPT-4, Claude, Mistral, Llama, and many others. If you are happy with Anthropic’s Opus model and the prompt you wrote, great!

Prompt Engineer 52

Prompt Engineer Prompt Engineering BERT Large Language Models 52

ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” It turns out that the role of a Prompt Engineer is not simply typing questions into a prompt window.

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Prompt Engineer Prompt Engineering LLM Data Science 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). These LLMs are artificial intelligence (AI) systems trained using large data sets, including text and code.

Large Language Models 52

Large Language Models Natural Language Processing LLM Machine Learning 52

Unite.AI

AUGUST 28, 2023

Transformers and Advanced NLP Models : The introduction of transformer architectures revolutionized the NLP landscape. Systems like ChatGPT by OpenAI, BERT, and T5 have enabled breakthroughs in human-AI communication. The diagram visualizes the architecture of an AI system powered by a Large Language Model and Agents.

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Auto-complete ChatGPT Large Language Models Neural Network 240

Snorkel AI

MAY 25, 2023

Since the public unveiling of ChatGPT, large language models (or LLMs) have had a cultural moment. But what are large language models? Table of contents What are large language models (LLMs)? Their new model combined several ideas into something surprisingly simple and powerful.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

Since the public unveiling of ChatGPT, large language models (or LLMs) have had a cultural moment. But what are large language models? Table of contents What are large language models (LLMs)? Their new model combined several ideas into something surprisingly simple and powerful.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Heartbeat

AUGUST 2, 2023

Introduction to LLMs LLM in the sphere of AI Large language models (often abbreviated as LLMs) refer to a type of artificial intelligence (AI) model typically based on deep learning architectures known as transformers. The end goal of such a model is to understand and be able to generate human-like text.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering OpenAI 52

Towards AI

JANUARY 30, 2024

To alleviate this… abhinavkimothi.gumroad.com Types of Models Foundation Models Large AI models that have millions/billions of parameters and are trained on terabytes of generalized and unlabelled data. Designed to be general-purpose, providing a foundation for various AI applications. Examples: GPT 3.5,

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Generative AI LLM Prompt Engineer Prompt Engineering 115

Marktechpost

DECEMBER 19, 2023

Operating in a partially observed Markov Decision Process, the premium is computed through a VLM based on scanned images and language-based goals. It demonstrates deriving rewards for diverse language goals from CLIP, training RL agents across Playhouse and AndroidEnv domains. Scaling VLM size generally improves performance.

Prompt Engineer 119

Prompt Engineer Prompt Engineering BERT Artificial Intelligence 119

AWS Machine Learning Blog

JUNE 25, 2024

Large language models (LLMs) have transformed the way we engage with and process natural language. These powerful models can understand, generate, and analyze text, unlocking a wide range of possibilities across various domains and industries.

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Automation Prompt Engineer Prompt Engineering Categorization 134

Mlearning.ai

JANUARY 17, 2024

95x: Generative AI history 600+: Key Technological Concepts 2,350+: Models & Mediums — Text, Image, Video, Sound, Code, etc. The foundations for today’s generative language applications were elaborated in the 1990s ( Hochreiter , Schmidhuber ), and the whole field took off around 2018 ( Radford , Devlin , et al.).

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Generative AI Prompt Engineer Prompt Engineering Large Language Models 98

Marktechpost

JUNE 24, 2024

The study also identified four essential skills for effectively interacting with and leveraging ChatGPT: prompt engineering, critical evaluation of AI outputs, collaborative interaction with AI, and continuous learning about AI capabilities and limitations.

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ChatGPT Generative AI BERT NLP 118

Heartbeat

MARCH 19, 2024

Introduction Large language models (LLMs) have emerged as a driving catalyst in natural language processing and comprehension evolution. As the need for more powerful language models grows, so does the need for effective scaling techniques. What are Large Language Models?

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Large Language Models Prompt Engineer Prompt Engineering Natural Language Processing 52

Mlearning.ai

JULY 24, 2023

In Generative AI projects, there are five distinct stages in the lifecycle, centred around a Large Language Model 1️⃣ Pre-training : This involves building an LLM from scratch. The likes of BERT, GPT4, Llama 2, have undergone pre-training on a large corpus of data. The model generates a completion on the prompt.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering Large Language Models 52

AWS Machine Learning Blog

MAY 31, 2023

In this post, we present a comprehensive guide of deploying a multiple-choice quiz solution for the FAQ pages of any AWS service, based on the AI21 Jurassic-2 Jumbo Instruct foundation model on Amazon SageMaker Jumpstart. Large language models In recent years, language models have seen a huge surge in size and popularity.

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Automation Python BERT Prompt Engineer 99

AWS Machine Learning Blog

DECEMBER 11, 2024

Generating improved instructions for each question-and-answer pair using an automatic prompt engineering technique based on the Auto-Instruct Repository. An instruction refers to a general direction or command given to the model to guide generation of a response. Automatic prompt engineering must use Anthropics Claude v2, v2.1,

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Generative AI Chatbots Prompt Engineer Prompt Engineering 74

deepsense.ai

FEBRUARY 6, 2024

Prompt engineering : the provided prompt plays a crucial role, especially when dealing with compound nouns. By using “car lamp” as a prompt, we are very likely to detect cars instead of car lamps. The first concept is prompt engineering. Text: The model accepts text prompts. Source: [link].

Prompt Engineer 105

Prompt Engineer Prompt Engineering NLP Computer Vision 105

AWS Machine Learning Blog

APRIL 17, 2023

Quantization and compression can reduce model size and serving cost by reducing the precision of weights or reducing the number of parameters via pruning or distillation. Compilation can optimize the computation graph and fuse operators to reduce memory and compute requirements of a model.

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Prompt Engineer Prompt Engineering Deep Learning Machine Learning 110

AWS Machine Learning Blog

DECEMBER 22, 2023

We start off with a baseline foundation model from SageMaker JumpStart and evaluate it with TruLens , an open source library for evaluating and tracking large language model (LLM) apps. These functions can be implemented in several ways, including BERT-style models, appropriately prompted LLMs, and more.

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LLM Large Language Models BERT Prompt Engineer 129

ODSC - Open Data Science

NOVEMBER 8, 2023

In this blog, we’ll explore ten key aspects of building generative AI applications, including large language model basics, fine-tuning, and core NLP competencies. Prompt Engineering Another buzzword you’ve likely heard of lately, prompt engineering means designing inputs for LLMs once they’re developed.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering LLM 52

Jay Alammar

MARCH 6, 2022

The company trains massive language models (both GPT-like and BERT-like) and offers them as an API (which also supports finetuning). It’s a fascinating role where I get to help companies and developers put these massive models to work solving real-world problems. This is one of the first articles I got to write.

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BERT Large Language Models Explainability Prompt Engineer 40

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 Machine Learning Prompt Engineer 52

Chatbots Life

MAY 12, 2023

In practice, we can ask a language model to continue the sequence with the word it thinks is the most probable. The most simple approach and the one used in the GPT family of models is in fact asking the model to predict the next word in a sequence. Will ChatGPT replace software engineers?

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ChatGPT Software Engineer NLP Prompt Engineer 94

AWS Machine Learning Blog

NOVEMBER 26, 2024

Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and generation across diverse domains as showcased in numerous leaderboards (e.g., We used prompt engineering guidelines to tailor our prompts to generate better responses from the LLM.

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LLM Machine Learning Prompt Engineer Prompt Engineering 105

ODSC - Open Data Science

SEPTEMBER 18, 2023

Getting started with natural language processing (NLP) is no exception, as you need to be savvy in machine learning, deep learning, language, and more. Large Language Models Finally, the course concludes with a look at large language models, such as BERT, ELMo, GPT, and ULMFiT.

NLP 52

NLP Neural Network Deep Learning Large Language Models 52

Snorkel AI

AUGUST 17, 2023

While Snorkel has worked with partners to build valuable applications using image and cross-modal genAI models, this post will focus exclusively on large language models. The latter will map the model’s outputs to final labels and significantly ease the data preparation process. BERT for misinformation.

Generative AI 52

Generative AI BERT LLM Prompt Engineer 52

Snorkel AI

AUGUST 17, 2023

While Snorkel has worked with partners to build valuable applications using image and cross-modal genAI models, this post will focus exclusively on large language models. The latter will map the model’s outputs to final labels and significantly ease the data preparation process. BERT for misinformation.

Generative AI 52

Generative AI BERT LLM Prompt Engineer 52

Snorkel AI

AUGUST 17, 2023

While Snorkel has worked with partners to build valuable applications using image and cross-modal genAI models, this post will focus exclusively on large language models. The latter will map the model’s outputs to final labels and significantly ease the data preparation process. BERT for misinformation.

Generative AI 52

Generative AI BERT LLM Prompt Engineer 52

The MLOps Blog

FEBRUARY 15, 2024

Due to the rise of LLMs and the shift towards pre-trained models and prompt engineering, specialists in traditional NLP approaches are particularly at risk. The rapid advancements of Large Language Models (LLMs) are changing the day-to-day work of ML practitioners and how company leadership thinks about AI.

NLP 59

NLP Natural Language Processing Data Scientist Software Engineer 59

Snorkel AI

MARCH 2, 2023

Today we’re going to be talking essentially about how responsible generative-AI-model adoption can happen at the enterprise level, and what are some of the promises and compromises we face. The foundation of large language models started quite some time ago. What are the promises? Billions of parameters.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52