Unite.AI

MARCH 5, 2024

Large Language Models (LLMs) are revolutionizing how we process and generate language, but they're imperfect. Just like humans might see shapes in clouds or faces on the moon, LLMs can also ‘hallucinate,' creating information that isn’t accurate. Let’s take a closer look at how RAG makes LLMs more accurate and reliable.

LLM 290

LLM Large Language Models Prompt Engineer Prompt Engineering 290

Unite.AI

OCTOBER 25, 2023

In-context learning has emerged as an alternative, prioritizing the crafting of inputs and prompts to provide the LLM with the necessary context for generating accurate outputs. But the drawback for this is its reliance on the skill and expertise of the user in prompt engineering.

LLM 304

LLM OpenAI Prompt Engineer Prompt Engineering 304

AWS Machine Learning Blog

AUGUST 2, 2024

The initial draft of a large language model (LLM) generated earnings call script can be then refined and customized using feedback from the company’s executives. Amazon Bedrock offers a straightforward way to build and scale generative AI applications with foundation models (FMs) and LLMs.

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Prompt Engineer Prompt Engineering LLM Generative AI 127

Unite.AI

NOVEMBER 14, 2024

The LLM-as-a-Judge framework is a scalable, automated alternative to human evaluations, which are often costly, slow, and limited by the volume of responses they can feasibly assess. Here, the LLM-as-a-Judge approach stands out: it allows for nuanced evaluations on complex qualities like tone, helpfulness, and conversational coherence.

LLM 147

LLM Chatbots Automation Prompt Engineer 147

John Snow Labs

MAY 21, 2024

Certain sectors, particularly healthcare and finance, face restrictions on sharing training or evaluation documents outside their organizational firewalls. Furthermore, some terms of use from LLM providers prohibit the use of their LLMs for training specialized models.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Generative AI LLM 52

Towards AI

NOVEMBER 14, 2024

This week, I am super excited to finally announce that we released our first independent industry-focus course: From Beginner to Advanced LLM Developer. Put a dozen experts (frustrated ex-PhDs, graduates, and industry) and a year of dedicated work, and you get the most practical and in-depth LLM Developer course out there (~90 lessons).

LLM 90

LLM Machine Learning Python Prompt Engineer 90

Artificial Corner

JULY 23, 2024

In this week’s guest post, Diana is sharing with us free prompt engineering courses to master ChatGPT. As you might know, prompt engineering is a skill that you need to have to master ChatGPT. Here are the best free prompt engineering resources on the internet. Check them out!

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Prompt Engineer Prompt Engineering ChatGPT OpenAI 64

Unite.AI

JUNE 30, 2023

Large Language Model (LLM) technology will play a significant role in the development of future applications. LLMs are very good at understanding language because of the extensive pre-training that has been done for foundation models on trillions of lines of public domain text, including code. Let’s look at these various levels.

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Large Language Models LLM OpenAI Prompt Engineer 278

AWS Machine Learning Blog

FEBRUARY 14, 2024

It enables you to privately customize the FMs with your data using techniques such as fine-tuning, prompt engineering, and Retrieval Augmented Generation (RAG), and build agents that run tasks using your enterprise systems and data sources while complying with security and privacy requirements.

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Prompt Engineer Prompt Engineering AI Chatbots Chatbots 134

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.

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Data Science 52

AWS Machine Learning Blog

OCTOBER 24, 2023

In today’s information age, the vast volumes of data housed in countless documents present both a challenge and an opportunity for businesses. Traditional document processing methods often fall short in efficiency and accuracy, leaving room for innovation, cost-efficiency, and optimizations. However, the potential doesn’t end there.

IDP 134

IDP LLM Prompt Engineer Prompt Engineering 134

AWS Machine Learning Blog

AUGUST 9, 2024

Question and answering (Q&A) using documents is a commonly used application in various use cases like customer support chatbots, legal research assistants, and healthcare advisors. In this collaboration, the AWS GenAIIC team created a RAG-based solution for Deltek to enable Q&A on single and multiple government solicitation documents.

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Data Ingestion Metadata LLM Generative AI 125

ODSC - Open Data Science

OCTOBER 3, 2024

Best Practices for Prompt Engineering in Claude, Mistral, and Llama Every LLM is a bit different, so the best practices for each may differ from one another. Got an LLM That Needs Some Work? When your data consists of various patient chart document types (e.g.

Prompt Engineer 40

Prompt Engineer Prompt Engineering LLM Data Science 40

AssemblyAI

MARCH 8, 2024

Join Us On Discord ⚡️LeMUR Docs Update Our LeMUR documentation received a significant update with a new focus on tutorials and prompt engineering guides. Additionally, we've introduced a dedicated prompt engineering guide with curated prompt examples to effectively utilize LeMUR.

Neural Network 147

Neural Network LLM Prompt Engineer Prompt Engineering 147

Unite.AI

NOVEMBER 13, 2024

Unlike traditional prompting where we simply state our request and hope for the best, the scratchpad technique creates a structured thought process that both you and the LLM can follow. Consider this common scenario: When asking an LLM to analyze customer purchase patterns, a typical prompt might simply request the analysis directly.

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Prompt Engineer Prompt Engineering LLM Large Language Models 133

TheSequence

DECEMBER 8, 2023

He covers best practices in prompt engineering, retrieval-augmented generation (RAG) and fine-tuning. The three most common techniques for improving your application are prompt engineering, retrieval augmented generation (RAG) and fine-tuning. Prompt Engineering: Tailoring the prompts to guide the model’s responses.

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LLM Prompt Engineer Prompt Engineering OpenAI 97

ODSC - Open Data Science

OCTOBER 27, 2023

Companies in sectors like healthcare, finance, legal, retail, and manufacturing frequently handle large numbers of documents as part of their day-to-day operations. These documents often contain vital information that drives timely decision-making, essential for ensuring top-tier customer satisfaction, and reduced customer churn.

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IDP LLM Large Language Models AI 98

Marktechpost

NOVEMBER 14, 2024

However, a significant challenge persists in developing open-source code LLMs, as their performance consistently lags behind state-of-the-art models. This performance gap primarily stems from the proprietary training datasets used by leading LLM providers, who maintain strict control over these crucial resources.

LLM 92

LLM Large Language Models Algorithm Software Engineer 92

ODSC - Open Data Science

SEPTEMBER 19, 2024

The Rise of Deepfakes and Automated Prompt Engineering: Navigating the Future of AI In this podcast recap with Dr. Julie Wall of the University of West London, we discuss two big topics in generative AI: deepfakes and automated prompted engineering. When your data consists of various patient chart document types (e.g.

Prompt Engineer 40

Prompt Engineer Prompt Engineering AI Automation Automation 40

Marktechpost

NOVEMBER 18, 2024

This limits the accessibility of LLMs to smaller organizations, degrades the user experience in real-time applications, and risks misinformation or errors in critical domains like healthcare and finance. Addressing these obstacles is essential for broader adoption and trust in LLM-powered solutions.

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OpenAI Prompt Engineering Prompt Engineer LLM 88

The MLOps Blog

SEPTEMBER 26, 2024

TL;DR Hallucinations are an inherent feature of LLMs that becomes a bug in LLM-based applications. Effective mitigation strategies involve enhancing data quality, alignment, information retrieval methods, and prompt engineering. What are LLM hallucinations? In 2022, when GPT-3.5

LLM 72

LLM Auto-complete Prompt Engineer Prompt Engineering 72

AWS Machine Learning Blog

OCTOBER 4, 2023

Use cases include document summarization to help readers focus on key points of a document and transforming unstructured text into standardized formats to highlight important attributes. The Falcon LLM is a large language model, trained by researchers at Technology Innovation Institute (TII) on over 1 trillion tokens using AWS.

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LLM Large Language Models Generative AI ML 113

Unite.AI

JANUARY 11, 2024

Text embeddings are vector representations of words, sentences, paragraphs or documents that capture their semantic meaning. vector embedding Recent advances in large language models (LLMs) like GPT-3 have shown impressive capabilities in few-shot learning and natural language generation.

Large Language Models 147

Large Language Models Prompt Engineer Prompt Engineering BERT 147

Heartbeat

NOVEMBER 9, 2023

Enter the world of Document Chains in LangChain, a revolutionary approach that promises to redefine how we interact with expansive textual data. Whether you’re a developer, data scientist, or just a curious enthusiast, this guide will walk you through the intricacies of Document Chains, showcasing their potential and practical applications.

LLM 52

LLM OpenAI Data Scientist Deep Learning 52

Flipboard

NOVEMBER 15, 2024

By harnessing the capabilities of generative AI, you can automate the generation of comprehensive metadata descriptions for your data assets based on their documentation, enhancing discoverability, understanding, and the overall data governance within your AWS Cloud environment. As a result, they can’t be included in the prompt as they are.

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Metadata Generative AI LLM AI 148

Heartbeat

JANUARY 19, 2024

As prompt engineering is fundamentally different from training machine learning models, Comet has released a new SDK tailored for this use case comet-llm. In this article you will learn how to log the YOLOPandas prompts with comet-llm, keep track of the number of tokens used in USD($), and log your metadata.

LLM 52

LLM Metadata Prompt Engineer Prompt Engineering 52

Marktechpost

JULY 25, 2024

Introduction to Large Language Models Difficulty Level: Beginner This course covers large language models (LLMs), their use cases, and how to enhance their performance with prompt tuning. It includes over 20 hands-on projects to gain practical experience in LLMOps, such as deploying models, creating prompts, and building chatbots.

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Large Language Models Prompt Engineer Prompt Engineering Chatbots 116

Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. Prompt engineering is crucial to steering LLMs effectively.

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Large Language Models Prompt Engineer Prompt Engineering LLM 130

Heartbeat

DECEMBER 7, 2023

Smart Chunking Techniques for Enhanced RAG Pipeline Performance Generated by the author using SDXL A huge pain point for Retrieval Augmented Generation is the challenge of making the text in large documents, especially PDFs, available for LLMs due to the limitations of the LLM context window.

LLM 52

LLM OpenAI Deep Learning Large Language Models 52

AWS Machine Learning Blog

APRIL 24, 2024

The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon warehouses. The team navigates a large volume of documents and locates the right information to make sure the warehouse design meets the highest standards. During the pilot, users provided 118 feedback responses.

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LLM AI AI Generative AI 131

Heartbeat

NOVEMBER 24, 2023

Photo by Derek Laliberte on Unsplash Retrieval in LangChain refers to fetching and retrieving relevant data or documents from external sources. By retrieving relevant documents, you can enhance the generation process and improve the quality and relevance of the generated responses.

Deep Learning 52

Deep Learning Metadata OpenAI Data Scientist 52

Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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Large Language Models LLM Natural Language Processing Deep Learning 85

Unite.AI

JANUARY 2, 2024

Core Components of RAG ( Image Source ) Retrieval: Retrieval models find information connected to the user's prompt to enhance the language model's response. This involves matching the user's input with relevant documents, ensuring access to accurate and current information.

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LLM Large Language Models Chatbots Natural Language Processing 243

ODSC - Open Data Science

OCTOBER 24, 2024

Our incredible lineup of speakers includes world-class experts in AI engineering, AI for robotics, LLMs, machine learning, and much more. LLM Distillation — Build Enterprise-Grade Applications Like Apple In this article we will talk through the steps required to distill a large, state of the art model to a smaller sibling model.

LLM 52

LLM ML Data Science Robotics 52

Towards AI

JULY 27, 2024

Claude AI is an LLM based on the powerful transformer architecture and like OpenAI’s ChatGPT, it can generate text, translate languages, as well as write different kinds of compelling content. Claude AI and OpenAI’s ChatGPT both are very powerful LLM models. ChatGPT vs. Claude AI: How do they differ? Let’s compare. So, enroll now.

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ChatGPT Prompt Engineering Prompt Engineer Explainability 104

AWS Machine Learning Blog

SEPTEMBER 5, 2024

As generative artificial intelligence (AI) continues to revolutionize every industry, the importance of effective prompt optimization through prompt engineering techniques has become key to efficiently balancing the quality of outputs, response time, and costs. In the Prompt field, write your prompt evaluation template.

Prompt Engineering 132

Prompt Engineering Prompt Engineer LLM Generative AI 132

Heartbeat

DECEMBER 15, 2023

I’m trying to unpack how different document loaders in LangChain impact a Retrieval Augmented Generation (RAG) system. It cleverly combines retrieving information from external documents with the generative capabilities of language models. website_url (str): The URL of the website from which to load the document.

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AI Chatbots LLM Chatbots NLP 52