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

databricks

NOVEMBER 21, 2023

We recently announced our AI-generated documentation feature, which uses large language models (LLMs) to automatically generate documentation for tables and columns in Unity.

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LLM Large Language Models AI AI 128

Analytics Vidhya

AUGUST 10, 2023

Google’s researchers have unveiled a groundbreaking achievement – Large Language Models (LLMs) can now harness Machine Learning (ML) models and APIs with the mere aid of tool documentation.

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Large Language Models Artificial Intelligence Artificial Intelligence Machine Learning 260

Unite.AI

AUGUST 16, 2023

Every customer conversation or VC pitch involves questions about how ready LLM tech is and how it will drive future applications. Large Language Models and Core Strengths LLMs are good at understanding language, that’s their forte. Then the search results are compiled into a prompt and sent to the LLM mostly as an API call.

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Large Language Models LLM Generative AI ChatGPT 246

Analytics Vidhya

SEPTEMBER 19, 2023

Use it for a variety of tasks, like translating text, answering […] The post Unlocking LangChain & Flan-T5 XXL | A Guide to Efficient Document Querying appeared first on Analytics Vidhya. For example, OpenAI’s GPT-3 model has 175 billion parameters.

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Large Language Models Artificial Intelligence Artificial Intelligence OpenAI 295

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.

Large Language Models 278

Large Language Models LLM OpenAI Prompt Engineer 278

Towards AI

DECEMBER 29, 2023

Once you’ve loaded documents, you’ll often want to transform them to better suit your application. The simplest example is you may want to split a long document into smaller chunks that can fit into your model’s context window. Why do we need document splitting?Different

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LLM AI AI Data Science 109

Analytics Vidhya

OCTOBER 23, 2023

ResearchBot is a cutting-edge LLM-powered application project that uses the capabilities of OpenAI’s LLM (Large Language Models) with Langchain for Information retrieval.

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LLM Large Language Models OpenAI AI 242

Towards AI

JANUARY 10, 2024

Once you’ve loaded documents, you’ll often want to transform them to better suit your application. The simplest example is you may want to split a long document into smaller chunks that can fit into your model’s context window. Why do we need document splitting?

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LLM AI AI Data Science 99

Analytics Vidhya

APRIL 30, 2024

Chat with Multiple Documents using Gemini LLM is the project use case on which we will build this RAG pipeline. Introduction Retriever is the most important part of the RAG(Retrieval Augmented Generation) pipeline. In this article, you will implement a custom retriever combining Keyword and Vector search retriever using LlamaIndex.

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LLM Large Language Models Chatbots Generative AI 282

Marktechpost

MARCH 23, 2024

the Vision Transformers) and the LLM with a Vision-toText (V2T) module. However, these models still need to improve understanding and extracting text from images containing rich text information, like documents, webpages, tables, and charts. The output channel is set equal to the input channel.

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Large Language Models LLM ML Computer Vision 128

Unite.AI

JANUARY 10, 2024

By integrating the sophisticated language processing capabilities of models like ChatGPT with the versatile and widely-used Scikit-learn framework, Scikit-LLM offers an unmatched arsenal for delving into the complexities of textual data. Why Scikit-LLM? and the user-friendly environment of Scikit-learn. Installation %%capture !pip

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Large Language Models LLM Machine Learning Natural Language Processing 147

Mlearning.ai

MAY 13, 2023

In most cases answer is no Large Language models can be used as is How to consume my companies document and use it for LLM? Submission Suggestions Using custom document with LLM (Azure Open AI/Open AI) was originally published in MLearning.ai at main · balakreshnan/Samples2023 · GitHub BECOME a WRITER at MLearning.ai .

LLM 52

LLM Large Language Models AI AI 52

Marktechpost

FEBRUARY 23, 2024

Despite their language prowess, traditional Large Language Models (LLMs) falter when faced with long documents, primarily due to inherent constraints on processing lengthy inputs. The efficacy of ReadAgent is underscored by its performance across several long-document comprehension tasks. appeared first on MarkTechPost.

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Large Language Models AI AI Artificial Intelligence 134

Marktechpost

MARCH 17, 2024

Such errors can have serious consequences in important applications like document-grounded question answering for industries like banking or healthcare. To address that, a team of researchers has recently presented GENAUDIT, a tool created especially to help fact-check LLM replies for jobs with a document foundation.

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LLM Machine Learning Large Language Models Artificial Intelligence 105

AssemblyAI

APRIL 10, 2024

However, LLMs only operate on textual data and don't understand audio data. With our recent contribution to LangChain Go , you can now integrate AssemblyAI's industry-leading speech-to-text models using the new document loader. The following example answers a question about an audio file.

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Large Language Models LLM OpenAI Python 261

Marktechpost

FEBRUARY 28, 2024

In recent research, a team of researchers from Meta has presented TestGen-LLM, a unique tool that uses Large Language Models (LLMs) to improve pre-existing human-written test suites automatically. This verification procedure is crucial to solve issues with LLM hallucinations, where produced content may differ from the intended quality.

Large Language Models 127

Large Language Models LLM Automation Software Engineer 127

AWS Machine Learning Blog

APRIL 24, 2024

The team navigates a large volume of documents and locates the right information to make sure the warehouse design meets the highest standards. To increase training samples for better learning, we also used another LLM to generate feedback scores. This method addressed the RAG limitation and further improved the bot response quality.

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LLM AI AI Generative AI 109

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

Towards AI

FEBRUARY 28, 2024

In the previous part, we embarked on a remarkable journey into document processing. We witnessed the development of a robust document embedding mechanism and the creation of a vector store, setting the stage for streamlined and optimized querying. It combines Azure Cognitive Search for document retrieval and OpenAI’s GPT-3.5

Chatbots 87

Chatbots Metadata LLM OpenAI 87

Marktechpost

APRIL 25, 2024

Snowflake AI Research has launched the Arctic , a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard for cost-effectiveness and accessibility.

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Large Language Models LLM AI Researcher AI Research 139

Marktechpost

MARCH 24, 2024

However, complexities are involved in developing and evaluating new reasoning strategies and agent architectures for LLM agents due to the intricacy of existing frameworks. A research team from Salesforce AI Research presents AgentLite , an open-source AI Agent library that simplifies the design and deployment of LLM agents.

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LLM AI Researcher AI Research Large Language Models 136

Marktechpost

JANUARY 20, 2024

However, one critical challenge surfacing with using LLMs is their ability to utilize external tools to accomplish intricate tasks efficiently. The complexity of this challenge stems from the inconsistent, often redundant, and sometimes incomplete nature of tool documentation.

Artificial Intelligence 128

Artificial Intelligence Artificial Intelligence Large Language Models Machine Learning 128

Towards AI

MARCH 21, 2023

This tutorial uncovers how to format multiple inputs to guide dialogues over custom documents using ChatGPT.Chatbot generated in Dream Studio | Skanda Vivek Recently, the ChatGPT API has developers all over making interesting product prototypes. Join over 80,000 subscribers and keep up to date with the latest developments in AI.

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ChatGPT LLM AI AI 92

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

Marktechpost

APRIL 25, 2024

In this article, we delve into 25 essential terms to enhance your technical vocabulary and provide insights into the mechanisms that make LLMs so transformative. Heatmap representing the relative importance of terms in the context of LLMs Source: marktechpost.com 1.

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Large Language Models LLM Neural Network Natural Language Processing 130

AWS Machine Learning Blog

NOVEMBER 13, 2023

This leads to unhelpful responses like “I don’t know” or incorrect, made-up answers provided by an LLM. The LangChain agent relies on FMs available in Amazon Bedrock, but this can be adapted to any other LLM that LangChain supports. The agent has access to a tool that is used to retrieve documents relevant to a user query.

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LLM Generative AI Large Language Models Data Scientist 94

Snorkel AI

DECEMBER 5, 2023

Large language models have demonstrated remarkable utility in document summarization and research facilitation. Showcased via a Streamlit front-end, it exemplifies the synergy of predictive and GenAI in achieving thorough and accurate document comprehension—thus offering an enriched user experience. bank prospect.

Generative AI 59

Generative AI Large Language Models LLM AI 59

Snorkel AI

DECEMBER 5, 2023

Large language models have demonstrated remarkable utility in document summarization and research facilitation. Showcased via a Streamlit front-end, it exemplifies the synergy of predictive and GenAI in achieving thorough and accurate document comprehension—thus offering an enriched user experience. bank prospect.

Generative AI 59

Generative AI Large Language Models LLM AI 59

Snorkel AI

APRIL 24, 2024

This release enables enterprises to rapidly accelerate the customization of large language models (LLMs) on their own unique data for production environments, new features for retrieval augmented generation (RAG) to power chunking and retrieval over long documents, and introduce support for new data modality, images.

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LLM Computer Vision Large Language Models Machine Learning 64

AssemblyAI

JANUARY 16, 2024

Haystack is an end-to-end LLM framework that enables you to build applications powered by LLMs, Transformer models, vector search, and more. However, audio data must be transcribed before it can be fed to advanced LLM models and other technologies. The output of the AssemblyAITranscriber is a Haystack document.

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Metadata LLM 228

Marktechpost

FEBRUARY 29, 2024

This approach improves Retrieval-Augmented Generation (RAG) performance by using LLM-generated knowledge graphs. Retrieval-augmented generation is a popular information retrieval technique in LLM-based systems. The team has shared an example in which the question, i.e., ‘What is Novorossiya?

Large Language Models 130

Large Language Models LLM Machine Learning Natural Language Processing 130

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. Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community.

LLM 147

LLM Neural Network Prompt Engineer Prompt Engineering 147

Marktechpost

JANUARY 18, 2024

Researchers have been putting in efforts to have an additional focus on understanding and documenting the transformations made to the data before pretraining. With AboutMe, the team has attempted to document the effects of data filtering on text rooted in social and geographic contexts.

Natural Language Processing 101

Natural Language Processing Large Language Models LLM AI 101

Mlearning.ai

JULY 7, 2023

Photo by Mariia Shalabaieva on Unsplash Over the past few months, I’ve been captivated by the flood of apps claiming to be the ultimate “ChatGPT for your documents” on Product Hunt. Decoding the technique Document Embeddings  — First things first, we need to convert our documents into something called “ embeddings ”.

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OpenAI Large Language Models Software Development Metadata 95

AWS Machine Learning Blog

DECEMBER 5, 2023

New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is of the essence, and adoption of LLM technologies can make or break a business’s competitive advantage.

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LLM AI AI Generative AI 96

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