Snorkel AI

FEBRUARY 13, 2024

Large language model distillation isolates LLM performance on a specific task and mirrors its functionality in a smaller format. LLM distillation basics Multi-billion parameter language models pre-trained on millions of documents have changed the world. What is LLM distillation? How does LLM distillation work?

LLM 52

LLM Data Scientist Neural Network Data Science 52

ODSC - Open Data Science

NOVEMBER 8, 2023

Generative AI is a new field. Over the past year, new terms, developments, algorithms, tools, and frameworks have emerged to help data scientists and those working with AI develop whatever they desire. It is also used to customize LLMs for specific applications, such as customer service chatbots or medical diagnosis systems.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering LLM 52

Snorkel AI

AUGUST 17, 2023

For example: Prompt: This is awesome! // Negative This is bad! // Positive Wow that movie was rad! // Positive {text_to_evaluate} // If text_to_evaluate was “ What a horrible show!” , The LLM output should be: Negative This technique generally guarantees a properly constrained response that will translate well into a code pipeline.

Generative AI 52

Generative AI BERT LLM Prompt Engineer 52

Snorkel AI

AUGUST 17, 2023

For example: Prompt: This is awesome! // Negative This is bad! // Positive Wow that movie was rad! // Positive {text_to_evaluate} // If text_to_evaluate was “ What a horrible show!” , The LLM output should be: Negative This technique generally guarantees a properly constrained response that will translate well into a code pipeline.

Generative AI 52

Generative AI BERT LLM Prompt Engineer 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. Billions of parameters are trained.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering Large Language Models 52

AWS Machine Learning Blog

FEBRUARY 6, 2024

We address this skew with generative AI models (Falcon-7B and Falcon-40B), which were prompted to generate event samples based on five examples from the training set to increase the semantic diversity and increase the sample size of labeled adverse events.

Large Language Models 97

Large Language Models BERT NLP Data Scientist 97

Unite.AI

DECEMBER 4, 2023

In the ever-evolving domain of Artificial Intelligence (AI), where models like GPT-3 have been dominant for a long time, a silent but groundbreaking shift is taking place. For example, DistilBERT , a distilled version of BERT, demonstrates the ability to condense knowledge while maintaining performance.

Large Language Models 217

Large Language Models BERT Neural Network Natural Language Processing 217

NVIDIA

SEPTEMBER 11, 2023

Grace Hopper Superchips and H100 GPUs led across all MLPerf’s data center tests, including inference for computer vision, speech recognition and medical imaging, in addition to the more demanding use cases of recommendation systems and the large language models ( LLMs ) used in generative AI.

Computer Vision 127

Computer Vision LLM BERT Large Language Models 127

AWS Machine Learning Blog

AUGUST 30, 2023

To solve this problem, we propose the use of generative AI, a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. Create an S3 bucket Create an S3 bucket called llm-radiology-bucket to host the training and evaluation datasets.

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Generative AI LLM AI AI 111

Unite.AI

FEBRUARY 23, 2024

Prompt engineering is the art and science of crafting inputs (or “prompts”) to effectively guide and interact with generative AI models, particularly large language models (LLMs) like ChatGPT. But what exactly is prompt engineering, and why has it become such a buzzword in the tech community?

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Prompt Engineer Prompt Engineering Large Language Models Generative AI 272

IBM Journey to AI blog

NOVEMBER 24, 2023

While attempting to drive acceleration and optimize cost of modernization, Generative AI is becoming a critical enabler to drive change in how we accelerate modernization programs. Let us explore the Generative AI possibilities across these lifecycle areas. Subsequent phases are build and test and deploy to production.

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Generative AI Auto-complete DevOps Automation 248

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. Learning the basics of transformers which is the core of LLM is imperative for a professional.

Large Language Models 109

Large Language Models Natural Language Processing Prompt Engineer Prompt Engineering 109

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. YouTube BERT Research — Ep.

Neural Network 52

Neural Network Large Language Models BERT Natural Language Processing 52

Analytics Vidhya

SEPTEMBER 2, 2023

Introduction Power of LLMs have become the new buzz in the AI community. Early adopters have swarmed to the different generative AI solutions like GPT 3.5, Since these models are trained on […] The post Harness the Power of LLMs: Zero-shot and Few-shot Prompting appeared first on Analytics Vidhya.

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Generative AI AI AI BERT 334

Marktechpost

APRIL 1, 2024

Ever since its inception, ChatGPT has taken the world by storm, marking the beginning of the era of generative AI. 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.

ChatGPT 106

ChatGPT Large Language Models Prompt Engineer Prompt Engineering 106

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

Flipboard

JUNE 20, 2023

For reference, GPT-3, an earlier generation LLM has 175 billion parameters and requires months of non-stop training on a cluster of thousands of accelerated processors. Training experiment: Training BERT Large from scratch Training, as opposed to inference, is a finite process that is repeated much less frequently.

Machine Learning 94

Machine Learning BERT Deep Learning ML Engineer 94

Becoming Human

MARCH 12, 2024

Application of generative AI Generative AI is pivotal in legal research automation with its capabilities for content generation, document drafting, and suggesting legal arguments. It leverages advanced language models like GPT-4, PaLM-2, Llama-2, and BERT to develop context-aware applications.

Automation 105

Automation Artificial Intelligence Artificial Intelligence NLP 105

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. a social media post or product description).

Generative AI 118

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

AWS Machine Learning Blog

APRIL 3, 2024

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. He specializes in Generative AI, Artificial Intelligence, Machine Learning, and System Design.

Machine Learning 100

Machine Learning Generative AI Metadata ML 100

Unite.AI

AUGUST 28, 2023

Systems like ChatGPT by OpenAI, BERT, and T5 have enabled breakthroughs in human-AI communication. Current Landscape of AI Agents AI agents, including Auto-GPT, AgentGPT, and BabyAGI, are heralding a new era in the expansive AI universe.

Auto-complete 240

Auto-complete ChatGPT Large Language Models AI 240

Snorkel AI

DECEMBER 27, 2023

While large language models (LLMs) have claimed the spotlight since the debut of ChatGPT, BERT language models have quietly handled most enterprise natural language tasks in production. As foundation models , large LLMs like GPT-4 and Gemini consolidate internet-scale text datasets and excel at a wide range of tasks.

BERT 59

BERT NLP Data Scientist Large Language Models 59

Flipboard

JULY 4, 2023

From education and finance to healthcare and media, LLMs are contributing to almost every domain. Famous LLMs like GPT, BERT, PaLM, and LLaMa are revolutionizing the AI industry by imitating humans. The field of Artificial Intelligence is booming with every new release of these models.

Large Language Models 126

Large Language Models Machine Learning Natural Language Processing BERT 126

Snorkel AI

DECEMBER 27, 2023

While large language models (LLMs) have claimed the spotlight since the debut of ChatGPT, BERT language models have quietly handled most enterprise natural language tasks in production. As foundation models , large LLMs like GPT-4 and Gemini consolidate internet-scale text datasets and excel at a wide range of tasks.

BERT 52

BERT NLP Data Scientist Large Language Models 52

Snorkel AI

DECEMBER 27, 2023

While large language models (LLMs) have claimed the spotlight since the debut of ChatGPT, BERT language models have quietly handled most enterprise natural language tasks in production. As foundation models , large LLMs like GPT-4 and Gemini consolidate internet-scale text datasets and excel at a wide range of tasks.

BERT 52

BERT NLP Data Scientist Large Language Models 52

John Snow Labs

SEPTEMBER 26, 2023

to be precise) of data scientists and engineers plan to deploy Large Language Model (LLM) applications into production in the next 12 months or “as soon as possible.” of data science teams have implemented LLM applications currently in use by their own or client companies. According to the data collected by Forbes , over a half (53.3%

NLP 52

NLP Large Language Models LLM Data Scientist 52

Marktechpost

JUNE 3, 2023

With the introduction of Large Language Models like GPT, BERT, and LLaMA, almost every industry, including healthcare, finance, E-commerce, and media, is making use of these models for tasks like Natural Language Understanding (NLU), Natural Language Generation (NLG), question answering, programming, information retrieval and so on.

Large Language Models 93

Large Language Models BERT Artificial Intelligence Artificial Intelligence 93

IBM Journey to AI blog

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible? An open-source model, Google created BERT in 2018.

Generative AI 151

Generative AI Data Scientist BERT Machine Learning 151

AssemblyAI

JUNE 27, 2023

With some first steps in this direction in the past weeks – Google’s AI test kitchen and Meta open-sourcing its music generator – some experts are now expecting a “GPT moment” for AI-powered music generation this year. This blog post is part of a series on generative AI.

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Generative AI AI AI BERT 298

Marktechpost

JULY 19, 2023

Most current LLMs are text-only, i.e., they excel only at text-based applications and have limited ability to understand other types of data. Examples of text-only LLMs include GPT-3 , BERT , RoBERTa , etc. The recently released GPT-4 by Open AI is an example of Multimodal LLM.

Artificial Intelligence 97

Artificial Intelligence Artificial Intelligence Large Language Models Robotics 97

Snorkel AI

AUGUST 24, 2023

How foundation models aid complaint resolution The recent emergence of foundation models (FMs) has amplified AI’s ability to accomplish many tasks, including complaint handling. For businesses to get the greatest value out of an LLM, they need to customize it with their proprietary data—something Snorkel can help with.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

Snorkel AI

AUGUST 24, 2023

How foundation models aid complaint resolution The recent emergence of foundation models (FMs) has amplified AI’s ability to accomplish many tasks, including complaint handling. For businesses to get the greatest value out of an LLM, they need to customize it with their proprietary data—something Snorkel can help with.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

Snorkel AI

AUGUST 24, 2023

How foundation models aid complaint resolution The recent emergence of foundation models (FMs) has amplified AI’s ability to accomplish many tasks, including complaint handling. For businesses to get the greatest value out of an LLM, they need to customize it with their proprietary data—something Snorkel can help with.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

AWS Machine Learning Blog

JULY 24, 2023

Inf2 instances are ideal for Deep Learning workloads like Generative AI, Large Language Models (LLM) in OPT/GPT family and vision transformers like Stable Diffusion. Also in this folder, we provide all the scripts necessary to trace a bert-base-uncased model on AWS Inferentia. code as the entry point. The fastapi-server.py

BERT 72

BERT Deep Learning Python Machine Learning 72

Snorkel AI

AUGUST 8, 2023

Banks can also use best-in-breed foundation models (closed-API & open source) to boost their AI efforts by: Labeling training dat a at a greater scale. While you can directly ask an LLM if an email is likely to be fraudulent or phishing, the better practice would be to ask more specific questions.

Data Scientist 52

Data Scientist Artificial Intelligence Artificial Intelligence AI 52

Snorkel AI

AUGUST 8, 2023

Banks can also use best-in-breed foundation models (closed-API & open source) to boost their AI efforts by: Labeling training dat a at a greater scale. While you can directly ask an LLM if an email is likely to be fraudulent or phishing, the better practice would be to ask more specific questions.

Data Scientist 52

Data Scientist Artificial Intelligence Artificial Intelligence AI 52

deepsense.ai

OCTOBER 8, 2023

Although LLM-based agents are relatively new (as, in fact, are LLMs themselves), they are already being applied to a wide range of tasks, such as: Helping you search through long documents and asking them questions: How we developed a GPT-based solution for extracting knowledge from documents – deepsense.ai

Auto-complete 92

Auto-complete LLM AI AI 92