Mlearning.ai

FEBRUARY 26, 2024

Image source: Seven Failure Points When Engineering a Retrieval Augmented Generation System I’ll discuss various optimization techniques sourced from different research papers. The majority of these techniques will be based on a research paper I particularly enjoyed, titled “ Retrieval-Augmented Generation for Large Language Models: A Survey.”

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AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks.

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Generative AI LLM Natural Language Processing Metadata 110

AWS Machine Learning Blog

JUNE 13, 2023

The latest offering for generative AI from AWS is Amazon Bedrock , which is a fully managed service and the easiest way to build and scale generative AI applications with foundation models. AWS also offers foundation models through Amazon SageMaker JumpStart as Amazon SageMaker endpoints. LangChain requires an LLM to be defined.

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AWS Machine Learning Blog

DECEMBER 5, 2023

Enterprises may want to add custom metadata like document types (W-2 forms or paystubs), various entity types such as names, organization, and address, in addition to the standard metadata like file type, date created, or size to extend the intelligent search while ingesting the documents.

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Metadata Auto-classification Auto-complete Content Enrichment 98

Heartbeat

JANUARY 26, 2024

The Memory Challenge in Large Language Models Large language models like Lang Chain do not have their own memory. Unlike humans, who naturally retain information during conversations, these models operate on a rapid response mechanism. It seems to be a problem with the zipper. I need your assistant.")

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Metadata LLM OpenAI Chatbots 52

Heartbeat

AUGUST 25, 2023

Introduction Prompt Engineering is arguably the most critical aspect in harnessing the power of Large Language Models (LLMs) like ChatGPT. However; current prompt engineering workflows are incredibly tedious and cumbersome. Logging prompts and their outputs to .csv

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Prompt Engineer Prompt Engineering Large Language Models Metadata 52

Heartbeat

SEPTEMBER 19, 2023

I’m so excited to talk to you about Language Models! They’re these incredible creations called Large Language Models (LLMs) that have the power to understand and generate human-like text. Comet’s LLMOps tool provides an intuitive and responsive view of our prompt history. Image by Author Hey there!

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Large Language Models Metadata LLM Data Scientist 52

Mlearning.ai

JUNE 17, 2023

outputsearch)), Char(10),""), """","") Goal is to use semantic search get the top 3 docs and then pass that with prompt engineering to chatgpt and get the response back and display it in power apps original article —  Samples2023/pinesearchgpt.md

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Metadata Prompt Engineer Prompt Engineering AI 52

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. However, bringing such solutions and models to the business-as-usual operations is not an easy task. Only prompt engineering is necessary for better results.

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Generative AI Prompt Engineer Prompt Engineering AI 102

AWS Machine Learning Blog

MAY 7, 2024

Large language models (LLMs) have unlocked new possibilities for extracting information from unstructured text data. This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain.

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Prompt Engineer Prompt Engineering Large Language Models LLM 94

Unite.AI

OCTOBER 25, 2023

Large language models (LLMs) like OpenAI's GPT series have been trained on a diverse range of publicly accessible data, demonstrating remarkable capabilities in text generation, summarization, question answering, and planning. But the drawback for this is its reliance on the skill and expertise of the user in prompt engineering.

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LLM OpenAI Prompt Engineer Prompt Engineering 304

Bugra Akyildiz

MARCH 16, 2024

Of course, all of the things that control vector does can be done through prompt engineering as well as one can consider control vector to be an “addition” to the prompt that is provided by the user. This is where metadata comes in. Metadata is essentially data about data.

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Metadata LLM Machine Learning Python 59

Unite.AI

AUGUST 4, 2023

An important aspect of Large Language Models (LLMs) is the number of parameters these models use for learning. The more parameters a model has, the better it can comprehend the relationship between words and phrases. Prompts play a crucial role in steering the behavior of a model.

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Prompt Engineer Prompt Engineering Python NLP 245

Heartbeat

OCTOBER 19, 2023

An Introduction to Large Language Models (LLMs) Image credit: shaip.com In the rapidly evolving landscape of artificial intelligence and natural language processing, large language models (LLMs) have emerged as powerful tools capable of understanding, generating, and manipulating human language with unprecedented proficiency.

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Large Language Models LLM Metadata Deep Learning 52

The MLOps Blog

MARCH 12, 2024

TL;DR LLMOps involves managing the entire lifecycle of Large Language Models (LLMs), including data and prompt management, model fine-tuning and evaluation, pipeline orchestration, and LLM deployment. What is Large Language Model Operations (LLMOps)? What the future of LLMOps looks like.

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Prompt Engineer Prompt Engineering LLM Large Language Models 52

The MLOps Blog

JUNE 27, 2023

W&B (Weights & Biases) W&B is a machine learning platform for your data science teams to track experiments, version and iterate on datasets, evaluate model performance, reproduce models, visualize results, spot regressions, and share findings with colleagues. Can you find experiments and models easily?

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Machine Learning Metadata Data Quality Data Scientist 134

IBM Journey to AI blog

JULY 17, 2023

.” Sean Im, CEO, Samsung SDS America “In the field of generative AI and foundation models, watsonx is a platform that will enable us to meet our customers’ requirements in terms of optimization and security, while allowing them to benefit from the dynamism and innovations of the open-source community.”

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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

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

Heartbeat

FEBRUARY 8, 2024

The recent rise of Large Language Models (LLMs) has been a game changer for the ChatBot industry. These models are trained on extensive data and have been the driving force behind conversational tools like BARD and ChatGPT. The rest are optional like prompt template, metadata, tags, etc.

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Conversational AI Chatbots LLM Prompt Engineer 52

Flipboard

DECEMBER 6, 2023

Experimentation and challenges It was clear from the beginning that to understand a human language question and generate accurate answers, Q4 would need to use large language models (LLMs). Further performance optimization involved fine-tuning the query generation process using efficient prompt engineering techniques.

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Chatbots LLM Prompt Engineer Prompt Engineering 130

AWS Machine Learning Blog

OCTOBER 24, 2023

In this post, we discuss how to extend a new or existing IDP architecture with large language models (LLMs). For example, we can follow prompt engineering best practices to fine-tune an LLM to format dates into MM/DD/YYYY format, which may be compatible with a database DATE column.

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IDP LLM Prompt Engineer Prompt Engineering 112

AWS Machine Learning Blog

SEPTEMBER 15, 2023

Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins, and so on), and 2) the ability to plan and execute tasks in a self-directed fashion. We use prompt engineering only and Flan-UL2 model as-is without fine-tuning.

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LLM Prompt Engineer Prompt Engineering Large Language Models 101

deepsense.ai

MAY 26, 2023

The presence of additional, specially formatted prompts can enforce consistency and quality – it is a technique to prevent answering outside the desired bounds and to ensure it acts appropriately, even for a malicious user. Such vectors are then stored in the vector database along with additional metadata.

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OpenAI Neural Network Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

APRIL 16, 2024

Then we show how you can enhance the in-notebook SQL experience using Text-to-SQL capabilities provided by advanced large language models (LLMs) to write complex SQL queries using natural language text as input. The way you craft a prompt can profoundly influence the nature and usefulness of the AI’s response.

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Data Scientist Generative AI ML Machine Learning 89

AWS Machine Learning Blog

NOVEMBER 29, 2023

In the last few years Large Language Models (LLMs) have risen to prominence as outstanding tools capable of understanding, generating and manipulating text with unprecedented proficiency. input prompts comprising input data and query) and define metrics like similarity and toxicity.

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LLM Data Scientist Algorithm Generative AI 82

Flipboard

NOVEMBER 24, 2023

Many customers are building generative AI apps on Amazon Bedrock and Amazon CodeWhisperer to create code artifacts based on natural language. The humble beginnings with Iris In 2017, SnapLogic unveiled Iris, an industry-first AI-powered integration assistant. The JSON artifact is directly integrated to the core SnapLogic integration platform.

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ETL Prompt Engineer Prompt Engineering Generative AI 112