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We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Text recognition is a long-standing research problem for document digitalization. Existing approaches for text recognition are usually built based on CNN for image understanding and RNN for char-level text generation. In addition, another language model is usually needed to improve the overall accuracy as a post-processing step. In this paper, we propose an end-to-end text […]

AI Learning Roadmap (Notion) 👉 https://tinyurl.com/2m5bcyyvAI Learning Roadmap (PDF download) 👉 https://tinyurl.com/3hdjnbaa🔑 TIMESTAMPS==================...

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

[NeurIPS'23 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities. - GitHub - haotian-liu/LLaVA: [NeurIPS'23 Oral] Vis...

Open source UI visual tool to build your customized LLM flow using Langchain

Build Real World LLM powered applications with LangChain, OpenAI, Llama2, Hugging Face. Create Web Apps with Streamlit.

A big issue with trying to improve your RAG pipeline is that advanced techniques can require a ton of setup time.We spent this past weekend packaging 7+ advanced techniques in @llama_index, so that you can use all of them through a standardized interface - simply load in your… https://t.co/Pave05z3Ld pic.twitter.com/FnanyoQTfC— Jerry Liu (@jerryjliu0) November 28, 2023

How *YOU* can - and should - build great multimodal AI apps that go viral and scale to millions in a weekend. Featuring the Vercel AI SDK and the new v0.dev AI frontend tool. Recorded live in San Francisco at the AI Engineer Summit 2023. See the full schedule of talks at https://ai.engineer/summit/schedule & join us at the AI Engineer World's Fair in 2024! Get your tickets today at https://ai.engineer/worlds-fair About Hassan Creator of RoomGPT

Extensive notes to accompany this talk: https://simonwillison.net/2023/Oct/23/embeddings/

A brief introduction to vector databases in Node.js using Chroma.

Don't skip securing your RAG app like you skip leg day at the gym! Here's what Prompt Injection is, how it works, and what you can do to secure your LLM-powered application.

In this post, we're going to take a top-level overview of how LlamaIndex bridges AI and private custom data from multiple sources (APIs, PDF, and more), enabling powerful applications.

This guide explains how to build a YouTube video summarization using Langchain, Deepgram, and Mistral 7B. Deploy your AI workload on Koyeb to enjoy high-performance microVMs, seamless scaling, and fast global deployments.

Thanks for signing up to The Rundown built by @therundownai and @rowancheung! Enjoy our free Advanced ChatGPT Guide as a warm welcome into the world of AI!

Running Starling-7B LLM model on local CPU with @Ollama_ai and getting great results for invoice data extraction, even better than Zephyr, Mistral or Llama2.Prompt: retrieve gross worth value for each invoice item from the table. format response as following {\"gross_worth\":… pic.twitter.com/QPPPrV27JU— Andrej Baranovskij (@andrejusb) November 30, 2023

Overview and Implementation with Python

Distribute and run LLMs with a single file. Contribute to Mozilla-Ocho/llamafile development by creating an account on GitHub.

In this third video of our series on Llama-index, we will explore how to use different vector stores in llama-index while building RAG applications. We will ...

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Learn effective prompt engineering techniques for Large Language Models (LLMs) based on generative AI, like ChatGPT, to facilitate software architecture decisions.

The nature of vector embeddings require new methods of storage and retrieval. We need a new kind of database.

A Step-by-Step Guide to Discover and Harness the Power of Vector Databases

Step by step guide to learn Prompt Engineering. We also have resources and short descriptions attached to the roadmap items so you can get everything you want to learn in one place.

Sheet1 Step,Competence,Substep,How to grow,Expected Time 1,Math,Linear Algebra, Calculus, Mathematical Analysis,a href="https://www.coursera.org/specializations/mathematics-machine-learning#courses"https://www.coursera.org/specializations/mathematics-machine-learning#courses/a,1 month Differ...

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