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.

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Unite.AI

DECEMBER 27, 2023

Generative AI is an evolving field that has experienced significant growth and progress in 2023. Generative AI has tremendous potential to revolutionize various industries, such as healthcare, manufacturing, media, and entertainment, by enabling the creation of innovative products, services, and experiences.

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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. Do you want a chatbot, a Q&A system, or an image generator? Don’t go in aimlessly expecting it to do everything.

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Marktechpost

APRIL 1, 2024

Ever since its inception, ChatGPT has taken the world by storm, marking the beginning of the era of generative AI. It provides codes for working with various models, such as GPT-4, BERT, T5, etc., The Art of Prompt Engineering with ChatGPT This book teaches the art of working with ChatGPT with the help of prompt engineering.

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Snorkel AI

AUGUST 17, 2023

The former will make the generative model’s outputs (mostly) fall into an expected range. Users can easily constrain an LLM’s output with clever prompt engineering. The problem of accuracy Text-generating AIs are trained to understand language largely by filling in missing tokens. BERT for misinformation.

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Snorkel AI

AUGUST 17, 2023

The former will make the generative model’s outputs (mostly) fall into an expected range. Users can easily constrain an LLM’s output with clever prompt engineering. The problem of accuracy Text-generating AIs are trained to understand language largely by filling in missing tokens. BERT for misinformation.

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Generative AI BERT LLM Prompt Engineer 52

Unite.AI

AUGUST 1, 2023

The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. Prompt design and engineering are growing disciplines that aim to optimize the output quality of AI models like ChatGPT. Our exploration into prompt engineering techniques aims to improve these aspects of LLMs.

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Towards AI

DECEMBER 28, 2023

Major language models like GPT-3 and BERT often come with Python APIs, making it easy to integrate them into various applications. Prompt engineering refers to the practice of designing and crafting effective prompts/questions to elicit desired responses from language models or natural language processing systems.

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Artificial Corner

JULY 30, 2023

So that’s why I tried in this article to explain LLM in simple or to say general language. Prompts design is a process of creating prompts which are the instructions and context that are given to Large Language Models to achieve the desired task. RoBERTa (Robustly Optimized BERT Approach) — developed by Facebook AI.

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Large Language Models LLM Natural Language Processing Deep Learning 98

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.

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ODSC - Open Data Science

SEPTEMBER 18, 2023

Especially now with the growth of generative AI and prompt engineering  — both skills that use NLP — now’s a good time to get into the field while it’s hot with this introduction to NLP course. Large Language Models Finally, the course concludes with a look at large language models, such as BERT, ELMo, GPT, and ULMFiT.

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Snorkel AI

FEBRUARY 13, 2024

Data scientists can use distillation to jumpstart classification models or to align small-format generative AI (GenAI) models to produce better responses. LLM distillation positions a large generative model as a “teacher” and the smaller model as a “student.” How does LLM distillation work?

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Snorkel AI

FEBRUARY 13, 2024

Data scientists can use distillation to jumpstart classification models or to align small-format generative AI (GenAI) models to produce better responses. LLM distillation positions a large generative model as a “teacher” and the smaller model as a “student.” How does LLM distillation work?

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Mlearning.ai

JANUARY 17, 2024

Each section of this story comprises a discussion of the topic plus a curated list of resources, sometimes containing sites with more lists of resources: 20+: What is Generative AI? 95x: Generative AI history 600+: Key Technological Concepts 2,350+: Models & Mediums — Text, Image, Video, Sound, Code, etc.

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Generative AI Prompt Engineer Prompt Engineering Large Language Models 98

Unite.AI

AUGUST 4, 2023

In this article, we will delve deeper into these issues, exploring the advanced techniques of prompt engineering with Langchain, offering clear explanations, practical examples, and step-by-step instructions on how to implement them. Prompts play a crucial role in steering the behavior of a model.

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AWS Machine Learning Blog

MAY 31, 2023

In 2018, BERT-large made its debut with its 340 million parameters and innovative transformer architecture, setting the benchmark for performance on NLP tasks. For text tasks such as sentence classification, text classification, and question answering, you can use models such as BERT, RoBERTa, and DistilBERT.

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Automation Python Prompt Engineer Prompt Engineering 68

AssemblyAI

MAY 23, 2023

This trend started with models like the original GPT and ELMo, which had millions of parameters, and progressed to models like BERT and GPT-2, with hundreds of millions of parameters. Learn more about it in our dedicated blog series on Generative AI. months on average. Try LeMUR in our Playground

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Snorkel AI

MARCH 2, 2023

I am Ali Arsanjani, and I lead partner engineering for Google Cloud, specializing in the area of AI-ML, and I’m very happy to be here today with everyone. It came to its own with the creation of the transformer architecture: Google’s BERT, OpenAI, GPT2 and then 3, LaMDA for conversation, Mina and Sparrow from Google DeepMind.

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Snorkel AI

MARCH 2, 2023

I am Ali Arsanjani, and I lead partner engineering for Google Cloud, specializing in the area of AI-ML, and I’m very happy to be here today with everyone. It came to its own with the creation of the transformer architecture: Google’s BERT, OpenAI, GPT2 and then 3, LaMDA for conversation, Mina and Sparrow from Google DeepMind.

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Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

AWS Machine Learning Blog

DECEMBER 22, 2023

These functions can be implemented in several ways, including BERT-style models, appropriately prompted LLMs, and more. Although new components have worked their way into the compute layer (fine-tuning, prompt engineering, model APIs) and storage layer (vector databases), the need for observability remains.

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LLM Large Language Models Prompt Engineer Prompt Engineering 93

AWS Machine Learning Blog

APRIL 17, 2023

Sparked by the release of large AI models like AlexaTM , GPT , OpenChatKit , BLOOM , GPT-J , GPT-NeoX , FLAN-T5 , OPT , Stable Diffusion , and ControlNet , the popularity of generative AI has seen a recent boom. For more information, refer to EMNLP: Prompt engineering is the new feature engineering.

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deepsense.ai

NOVEMBER 14, 2023

In short, EDS is the problem of the widespread lack of a rational approach to and methodology for the objective, automated and quantitative evaluation of performance in terms of generative model finetuning and prompt engineering for specific downstream GenAI tasks related to practical business applications. Garrido-Merchán E.C.,

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Unite.AI

SEPTEMBER 20, 2023

Post-Processor : Enhances construction features to facilitate compatibility with many transformer-based models, like BERT, by adding tokens such as [CLS] and [SEP]. We choose a BERT model fine-tuned on the SQuAD dataset.

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Unite.AI

AUGUST 8, 2023

That is Generative AI. Generative models have blurred the line between humans and machines. With the advent of models like GPT-4, which employs transformer modules, we have stepped closer to natural and context-rich language generation. billion R&D budget to generative AI, as indicated by CEO Tim Cook.

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Flipboard

DECEMBER 6, 2023

In this post, we focus on the BERT extractive summarizer. BERT extractive summarizer The BERT extractive summarizer is a type of extractive summarization model that uses the BERT language model to extract the most important sentences from a text. It works by first embedding the sentences in the text using BERT.

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AWS Machine Learning Blog

NOVEMBER 1, 2023

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing. Solution overview The proposed VLP solution integrates a suite of state-of-the-art generative AI modules to yield accurate multimodal outputs.

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Topbots

JUNE 29, 2023

While you will absolutely need to go for this approach if you want to use Text2SQL on many different databases, keep in mind that it requires considerable prompt engineering effort. 4] In the open-source camp, initial attempts at solving the Text2SQL puzzle were focussed on auto-encoding models such as BERT, which excel at NLU tasks.[5,

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Topbots

JUNE 6, 2023

Generative AI pushes autoregressive models, while autoencoding models are waiting for their moment. For many AI companies, it seems like ChatGPT has turned into the ultimative competitor. The short answer is: ChatGPT is great for many things, but it does by far not cover the full spectrum of AI.

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