DataGeek @DataGeekBY

"What to wear in this weather?" How often have you asked yourself this question? Wearthe is the everyday guide to weather-oriented outfits. Sign up and get notified when it will be published! Coming soon for iOS wearthe.app

My paper "Training-free Graph Neural Networks and the Power of Labels as Features" has been accepted to #TMLR 🎉 I proposed training-free (and optionally trained) GNNs. Paper📜：arxiv.org/abs/2404.19288 Code📁：github.com/joisino/laf

We’re big on the LLM ETL stack. We’ve made two big releases in LLMs + structured outputs this week 💫 1. Open-source structured outputs with async + streaming: docs.llamaindex.ai/en/stable/use_… 2. LlamaExtract: github.com/run-llama/llam… We want your input 📣 - what are the biggest enterprise use cases that you’re using structured extraction and output capabilities for? Whether you’re using @llama_index or Instructor (@jxnlco) or any other framework/tool. Is it for a standalone use case or to make an e2e pipeline like RAG better? Some thoughts: 1. Add metadata for RAG 2. Invoice processing 3. Report generation 4. Form filling Let us know your thoughts 👇

Boost Your #LLMs Performance with Vector #Search & #Databases! Discover how Elasticsearch and other tools revolutionize NLP applications. machine-mind-ml.medium.com/enhancing-llm-… #100DaysOfCode #programming #MachineLearning #programming #pythonprojects #technology #DataScience

If you want to know the possible #strategies of Prompt #Engineering in LLMs welcome to the post inspired by by #DataTalks Club. Please share and comment machine-mind-ml.medium.com/comprehensive-… #100DaysOfCode #programming #MachineLearning #programming #pythonprojects #technology #DataScience

Are you an iOS / Apple Apps Builder? Check out our new five part blog series that gets you from no AI Infra experience to building AI features right in your Apple Ecosystem Apps with Weaviate! Huge thanks to Randy Fong for the community contribution and collaboration. Stoked to do more with you Randy!

Weaviate AI Database @weaviate_io

2 years ago

🍎 Are you an Apple Ecosystem developer? Building with Weaviate’s AI-powered search brings new capabilities to your applications and your data. Check out our new blog series by Randy Fong in collaboration with @itsajchan! Randy walks through the intricacies of building Apple

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My free AWS Solutions Architect Associate C03 course is now published to @freeCodeCamp. There is 50 hours of content. Hope you all enjoy.

Automate real-world tasks with LlamaIndex and @MultiOn_AI! MultiOn is an AI agents platform that works with the web to get real things done by connecting to the Internet through your Chrome web browser and acting on your behalf. Check out our demo where it searches through your inbox, reads an email, and responds to it, all through code: llamaindex.ai/blog/automate-…

The series on Open-Sourced #LLMs If you want to run your own #LLM for your automation tasks you can read on how to do it machine-mind-ml.medium.com/open-sourced-v… #Python #100DaysOfCode #programming #code #AI #BigData #MachineLearning #programming #Pythonprojects #programminghelp #technology

Did you know that you can gain a valuable knowledge on #LLM with #free course by DataTalks chance to join to the community, be ready for your #CareerGrowth github.com/DataTalksClub/… #100DaysOfCode #programming #code #AI #MachineLearning #programming #programminghelp #technology

Microsoft's GraphRAG uses large language models to create detailed knowledge graphs from text documents, enabling complex data queries. github.com/microsoft/grap… microsoft.com/en-us/research… #100DaysOfCode #programming #MachineLearning #programming #pythonprojects #technology #NLP

Ever wondered on how to use LLM and RAG with your own data? There is a detailed explanation and guidance! machine-mind-ml.medium.com/discovering-se… #Python #100DaysOfCode #programming #code #AI #BigData #MachineLearning #programming #Pythonprojects #programminghelp #technology

Huge news for the Open Source community ! 💎 @Google just released a new model - Gemma - a series of Language Models from 2B to 7B parameters with their instruction fine-tuned versions ! Play with it right now with and below is a thread of all the things you can do 🧵

Implementing advanced Retrieval-Augmented Generation (RAG)techniques using @llama_index is super easy, especially if you have the right vector database. For example, implementing sentence window retrieval requires metadata storage and enabling hybrid search is only possible if the underlying search engine supports it. Luckily, @weaviate_io supports both metadata storage as well as hybrid search. 💻 Naive RAG: github.com/weaviate/recip… 💻 Advanced RAG: github.com/weaviate/recip… Read more on @TDataScience: towardsdatascience.com/advanced-retri…

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Hey! Are you using chat models on @huggingface like: - LLaMA - Mi(s/x)tral - Falcon - Zephyr - Phi Do you want massive performance gains? Then you should be using chat templates! The guide is here: huggingface.co/docs/transform… (Thanks to Daniel Furman for the table)

I just uploaded a 90 minute tutorial, which is designed to be the one place I point coders at when they ask "hey, tell me everything I need to know about LLMs!" It starts at the basics: the 3-step pre-training / fine-tuning / classifier ULMFiT approach used in all modern LLMs.

Code Llama is free for both research and commercial use and we've made three different models available: - Code Llama - Code Llama - Python - Code Llama - Instruct More details on each of these models and how you can download them ➡️ bit.ly/45JiPwJ

QLoRA is actually all you need! 🚀 Documenting and sharing my experience & results of learning & applying QLoRA fine-tuning on /r/wallstreetbets Reddit data. QLoRA is an extremely fast and lightweight way to fine-tune models. Video: youtube.com/watch?v=J_3hDq…

Customer Relationship Management software has tons of features for managing data. And you can practice your Python skills by building your own CRM. In this course, you'll use Django, Python, & MySQL to build a fully-functional CRM. Find it on freeCodeCamp's YouTube channel.

Segment Anything as a Service with Development Seed! ✨ By leveraging SAM and Torchserve, users can integrate segment-anything-services into their workflows to help optimize compute costs. Check out more here: hubs.la/Q01ZR4jL0