Towards AI

MAY 30, 2024

years along a dozen graduates and experts in the field… our new and first book: Building LLMs for Production! So we’ve gathered everything we worked on and with in this 470-page book all about LLMs and how to work with them. Jerry Liu , Co-founder and CEO of LlamaIndex “This book will help you or your company get the most out of LLMs.

Prompt Engineer 79

Prompt Engineer Prompt Engineering LLM AI 79

Unite.AI

OCTOBER 2, 2023

When fine-tuned, they can achieve remarkable results on a variety of NLP tasks. It's like having a library with all the books in the world, but no catalog to find what you need. Chatgpt New ‘Bing' Browsing Feature Prompt engineering is effective but insufficient Prompts serve as the gateway to LLM's knowledge.

LLM 298

LLM Prompt Engineer Prompt Engineering Large Language Models 298

Unite.AI

JANUARY 2, 2024

Large Language Models (LLMs) have contributed to advancing the domain of natural language processing (NLP), yet an existing gap persists in contextual understanding. Augmentation: Following retrieval, the RAG model integrates user query with relevant retrieved data, employing prompt engineering techniques like key phrase extraction, etc.

LLM 243

LLM Large Language Models Chatbots Natural Language Processing 243

ODSC - Open Data Science

OCTOBER 26, 2023

ODSC West is less than a week away and we can’t wait to bring together some of the best and brightest minds in data science and AI to discuss generative AI, NLP, LLMs, machine learning, deep learning, responsible AI, and more. With a Virtual Open Pass , you can be part of where the future of AI gathers for free. So, don’t delay.

Data Science 52

Data Science Machine Learning Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

APRIL 3, 2023

We also demonstrate how you can engineer prompts for Flan-T5 models to perform various natural language processing (NLP) tasks. Furthermore, these tasks can be performed with zero-shot learning, where a well-engineered prompt can guide the model towards desired results. xlarge instance.

Natural Language Processing 87

Natural Language Processing NLP Prompt Engineer Prompt Engineering 87

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

Ehud Reiter

APRIL 22, 2024

Incidentally, the lead author of the report, Diakopoulos , also edits a very interesting blog on generative AI in journalism , and wrote a book in 2019 on Automating the News. The report also points out that LLMs change the skills needed by journalists (eg, prompt engineering) and also how human interact with other humans.

Generative AI 129

Generative AI Prompt Engineer Prompt Engineering LLM 129

Snorkel AI

AUGUST 9, 2023

and Llama 2) and techniques, ultimately showing that a simple DistilBERT model developed with Snorkel Flow outperforms GPT-4 by 34 points out-of-the-box and by 15 points even after advanced prompt engineering. The presence of these “resistances” can be advertised in a large variety of ways, making this a challenging NLP problem.

LLM 52

LLM Prompt Engineer Prompt Engineering NLP 52

Chatbots Life

MAY 12, 2023

As everything is explained from scratch but extensively I hope you will find it interesting whether you are NLP Expert or just want to know what all the fuss is about. We will discuss how models such as ChatGPT will affect the work of software engineers and ML engineers.

ChatGPT 105

ChatGPT Software Engineer NLP Prompt Engineer 105

ODSC - Open Data Science

MAY 21, 2024

At ODSC Europe 2024, you’ll find an unprecedented breadth and depth of content, with hands-on training sessions on the latest advances in Generative AI, LLMs, RAGs, Prompt Engineering, Machine Learning, Deep Learning, MLOps, Data Engineering, and much, much more.

Data Science 52

Data Science Continuous Learning Deep Learning Machine Learning 52

How to Learn Machine Learning

JULY 20, 2024

Supported by Natural Language Processing (NLP), Large language modules (LLMs), and Machine Learning (ML), Generative AI can evaluate and create extensive images and texts to assist users. This advancement will eliminate the need for traditional prompt engineering in generative AI. Keep learning and have an amazing day.

Generative AI 64

Generative AI Machine Learning Deep Learning AI 64

AWS Machine Learning Blog

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. These tasks include summarization, classification, information retrieval, open-book Q&A, and custom language generation such as SQL.

LLM 91

LLM Prompt Engineer Prompt Engineering Generative AI 91

Snorkel AI

NOVEMBER 28, 2023

Improved response times: Customized models require fewer tokens in their prompts, allowing the model to arrive at an answer more quickly. This reduces prompt engineering and delivers users an acceptable response in fewer attempts, thereby reducing costs. Book a demo today. See what Snorkel option is right for you.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models LLM 52

Snorkel AI

OCTOBER 13, 2023

Improved response times: Customized models require fewer tokens in their prompts, allowing the model to arrive at an answer more quickly. This reduces prompt engineering and delivers users an acceptable response in fewer attempts, thereby reducing costs. Book a demo today. Turbo via OpenAI’s APIs in a standard notebook.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models OpenAI 52

Heartbeat

SEPTEMBER 19, 2023

They have been trained on massive text data, absorbing information from books, articles, websites, and more. Comet’s LLMOps tool provides an intuitive and responsive view of our prompt history. Prompt Usage Tracker: Working and iterating on Large Language models may require us to use paid APIs. Logging full prompt and response.

Large Language Models 52

Large Language Models Metadata LLM Data Scientist 52

Bugra Akyildiz

JULY 16, 2023

In here, the distinction is that base models want to complete documents(with a given context) where assistant models can be used/tricked into performing tasks with prompt engineering. Natural language processing (NLP) or computational linguistics is one of the most important technologies of the information age.

LLM 52

LLM Chatbots Neural Network Large Language Models 52

Unite.AI

JUNE 13, 2024

Example question question = "Which award did Gary Zukav's first book receive?" turbo model to simulate prompting tasks within DSPy. DSPy's modular design and advanced optimizers allow for efficient and effective integration of various language models, making it a valuable tool for anyone working in the field of NLP and AI.

LLM 130

LLM AI AI Large Language Models 130

Heartbeat

OCTOBER 5, 2023

These LLMs can generate human-like text, understand context, and perform various Natural Language Processing (NLP) tasks. Feature Engineering and Model Experimentation MLOps: Involves improving ML performance through experiments and feature engineering. The focus shifts towards prompt engineering and fine-tuning.

Large Language Models 52

Large Language Models DevOps Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

APRIL 17, 2023

Prompt engineering Prompt engineering refers to efforts to extract accurate, consistent, and fair outputs from large models, such text-to-image synthesizers or large language models. For more information, refer to EMNLP: Prompt engineering is the new feature engineering.

Prompt Engineer 91

Prompt Engineer Prompt Engineering Deep Learning Large Language Models 91

Snorkel AI

OCTOBER 17, 2023

What are the key advantages that it offers for financial NLP tasks? For years you’ve been a big leader in applying AI—generally in the NLP and AI research communities, but also specifically for finance. And, at Bloomberg, we’ve been doing NLP for a long time. You were able to share what you did with the community.

Large Language Models 52

Large Language Models NLP Prompt Engineer Prompt Engineering 52

Snorkel AI

OCTOBER 17, 2023

What are the key advantages that it offers for financial NLP tasks? For years you’ve been a big leader in applying AI—generally in the NLP and AI research communities, but also specifically for finance. And, at Bloomberg, we’ve been doing NLP for a long time. You were able to share what you did with the community.

Large Language Models 64

Large Language Models NLP Prompt Engineer Prompt Engineering 64

Snorkel AI

AUGUST 17, 2023

Users can easily constrain an LLM’s output with clever prompt engineering. When prompted for a classification task, a genAI LLM may give a reasonable baseline, but prompt engineering and fine-tuning can only take you so far. Book a demo today. In-context learning. See what Snorkel option is right for you.

Generative AI 52

Generative AI BERT LLM Prompt Engineer 52

Snorkel AI

OCTOBER 17, 2023

What are the key advantages that it offers for financial NLP tasks? For years you’ve been a big leader in applying AI—generally in the NLP and AI research communities, but also specifically for finance. And, at Bloomberg, we’ve been doing NLP for a long time. You were able to share what you did with the community.

Large Language Models 59

Large Language Models NLP Prompt Engineer Prompt Engineering 59

Viso.ai

FEBRUARY 21, 2024

The quality and performance of the LLM depend on the quality of the prompt it is given. Prompt engineering allows users to construct optimal prompts to improve the LLM response. This article will guide readers step by step through AI prompt engineering and discuss the following: What is a Prompt?

Prompt Engineer 52

Prompt Engineer Prompt Engineering Computer Vision LLM 52

Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. Useful links: prompt OpenAI’s Dalle-2 with an online demo prompt Huggin face’s Stable diffusion with this demo.

Neural Network 52

Neural Network AI AI Data Science 52

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Once a decision is made, the generative AI conversational bot decides whether to book an appointment, provide more information, or route the customer to the contact center for further assistance. He is passionate about building applications using Generative AI, Amazon Kendra and NLP.

Generative AI 115

Generative AI LLM Large Language Models Software Engineer 115

Snorkel AI

JANUARY 16, 2024

AR: I’ve heard others say that the advent of prompt engineering and all the novel and sometimes hilarious strategies for prompting are really signs of the lack of robustness—or the failure of robustness and stability—of current models. This is one big issue I have with prompt engineering these days.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Neural Network Algorithm 52

PyImageSearch

SEPTEMBER 11, 2023

Prompt engineering refers to crafting text inputs to get desired responses from foundational models. For example, engineered text prompts are used to query ChatGPT and get a useful or desirable response for the user. Inside you'll find my hand-picked tutorials, books, courses, and libraries to help you master CV and DL!

Computer Vision 106

Computer Vision AI AI Prompt Engineer 106

Snorkel AI

MAY 25, 2023

At its debut, BERT shattered the records for a suite of NLP benchmark tests. Within a short time, BERT became the standard tool for NLP tasks. From 2018 to the modern day, NLP researchers have engaged in a steady march toward ever-larger models. This is generally known as “prompt programming” or “prompt engineering.”

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

At its debut, BERT shattered the records for a suite of NLP benchmark tests. Within a short time, BERT became the standard tool for NLP tasks. From 2018 to the modern day, NLP researchers have engaged in a steady march toward ever-larger models. This is generally known as “prompt programming” or “prompt engineering.”

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

APRIL 16, 2024

But these are all within the realm of prompt engineering. You could get away with just doing prompting and serving these models immediately. Even if you do RAG—you read all those books—you’re still not a physician. You want to do some in-context learning with few-shot examples. What are you talking about?

Large Language Models 52

Large Language Models ML LLM Generative AI 52

Snorkel AI

DECEMBER 14, 2023

Many organizations pursue model-centric iteration, such as hyper-parameter tuning and prompt engineering. Our Snorkel Custom program puts our world-class engineers and researchers to work on your most promising challenges to deliver data sets or fully-built LLM or generative AI applications, fast. Book a demo today.

Categorization 52

Categorization Data Scientist Prompt Engineer Prompt Engineering 52

Unite.AI

AUGUST 8, 2023

LaMDA Google 173 billion Not Open Source, No API or Download Trained on dialogue could learn to talk about virtually anything MT-NLG Nvidia/Microsoft 530 billion API Access by application Utilizes transformer-based Megatron architecture for various NLP tasks. How Are LLMs Used?

Generative AI 243

Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

Flipboard

DECEMBER 6, 2023

Extractive summarization Extractive summarization is a technique used in NLP and text analysis to create a summary by extracting key sentences. Abstractive summarization Abstractive summarization is a technique used in NLP and text analysis to create a summary that goes beyond mere extraction of sentences or phrases from the source text.

BERT 166

BERT Large Language Models Artificial Intelligence Artificial Intelligence 166

AWS Machine Learning Blog

OCTOBER 23, 2024

It facilitates the seamless customization of FMs with enterprise-specific data using advanced techniques like prompt engineering and RAG so outputs are relevant and accurate. He focuses on Deep learning including NLP and Computer Vision domains. He is the author of the upcoming book “What’s Your Problem?”

Generative AI 76

Generative AI IDP LLM Automation 76