Philip Vollet @philipvollet
Head of Developer Growth @weaviate_io & Open source lover tweeting about machine learning and data science projects. linkedin.com/in/philipvollet Berlin, Germany Joined November 2011-
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Can we finetune our LLM and retriever together to improve RAG performance? This paper proposes a technique to do exactly that! RAG Basics: When you prompt an LLM, RAG supplies relevant documents. A separate retrieval model computes the probability of each text chunk being…
Our friends at Unbody launched today on Product Hunt! Let's support them! Unbody is an AI-native content API that automates your full pipeline. Connect your data and start building with a single line of code. Build with @weaviate_io producthunt.com/posts/unbody
🧐 is this some kind of new T-Swift concert? 🙇♂️ nope! It's the awesome @weaviate_io team showing some awesome RAG feedback loops with Google #Gemini on stage during the Princess Máxima Center for pediatric oncology hackathon!
After years of working in the automotive industry, I think this community showcase is pretty cool! Cyrill Hug from @HPE has built an LLM-powered chatbot to chat with your car’s manual. This app is based on RAG and is deployed entirely on-prem using @weaviate_io via Kubernetes.
What a team 💚
Helping young cancer patients through AI is the focus of today's Solve with @GoogleAI hackathon - the room is filled with positive energy and teams are building 💜
Team @weaviate_io at the Solve with Google Hackathon today! 🥳
Am I the only one who thinks this was a missed opportunity to title the paper: "DoRA: the Weight-Decomposed expLoRA"? All joking aside, researchers recently proposed DoRA, a new fine-tuning technique for LLMs. Specifically, it is a new PEFT technique and an alternative to LoRA.
Verba’s “Beautiful-Frontend ✨” Update is getting closer and closer! We redesigned the RAG frontend entirely and made it more intuitive, clean, and fully customizable 🤩 The update should also fix many of the existing bugs, both frontend and backend, and preferably won’t…
Binary Quantization with @weaviate_io and @cohere - Binary Quantization BQ and Product Quantization PQ reduce memory usage in vector databases while keeping retrieval accuracy high kaggle.com/code/ajitmistr…
We’re super excited to join the Solve with @Google Hackathon and work with the Prinses Máxima Centrum voor kinderoncologie (@prinsesmaximac) and the attending teams to build generative AI projects with Gemini and Weaviate! The teams will work on projects on various topics to…
Pretty excited to give this talk tomorrow @github. It's going to cover some new features from Weaviate 1.24 and be a highly engaging demo for the audience. If you're @aicampai meetup tmr at GitHub, you know where to find me! I wonder what I should 3D Print this time! 🤔
Did you know that you can get the distance metrics after a vector search lookup in @WeAviate? All you have to pass in is a MetadataQuery object with distance=True as the input parameters into the return_metadata of your query and then BAM. You have distance between ur vectors!
We need deterministic LLM outputs. An information network. Graphs! How to build them with LLMs? 🤔 How to search them?🎓 We help with the new cognee 0.1.4 release! An optimizer to train a knowledge graph generation with #DSPy and @weaviate_io to get better contexts 💥 👇
How do you determine the best embedding model for your RAG/semantic search application? The Massive Text Embedding Benchmark (MTEB) is a good starting point for the wide range of embedding models.
My MacBook is huffing and puffing under the stress of music LLM dataset preparation. Soon I will be able to train another music Llama. And it will be FAST with MLX!
Scaling vector embeddings for production use cases can be challenging because of cost and latencies. By enabling vector compression, you can reduce the resource requirements and thus save deployment costs and increase search speeds at only a small trade-off in search quality.…
Charity Time! ❤️ I'll participate in the @Google Charity Hackathon at the Princess Máxima Centre in Amsterdam next week! We're diving into Generative AI tools for Healthcare to make a real difference. Every year, 600 children in the Netherlands are diagnosed with cancer. Sadly,…
We programmed @cohere Command R+ with @stanfordnlp DSPy, @weaviate_io Vector store and @crewAIInc agents to create a matchmaking application. By using DSPy's declarative structured programming, we've built a highly modular and scalable AI system that effortlessly connects…
JSON structured output from invoice document with Llama3:8b Instruct. Running in Sparrow RAG with @llama_index, @weaviate_io and @ollama 🚀 @katana_ml
Bojan Tunguz @tunguz
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1K Followers 774 Following Cloud.Architect | Cronos | AholdDelhaize - Microsoft MVP on AVD | @mc2mcbe usergroup - Azure - Automation - Husband & Father of 2 - Member of @Kiwanis charityXavier Decoster @xavierdecoster
1K Followers 664 Following Into Package Management. Principal Software Engineer @Microsoft on @NuGet and @VisualStudio Marketplace.Roland Guijt @RolandGuijt
3K Followers 602 Following Microsoft MVP, Microsoft Certified Trainer (MCT), https://t.co/qKRmcNLmCu insider, Pluralsight author, consultant. Needless to say I love software development.Jan Hannemann @bitdisaster
2K Followers 663 Following Engineer doing coffee driven development @SlackHQ | Iron Lifter | Unidirectional Time TravelerYves Goeleven @YvesGoeleven
2K Followers 1K Following Builds web apps, using messaging, on azure, loves basketball. Creator of: - https://t.co/MJnB7FNZOt - https://t.co/WFNPJs464LCan we finetune our LLM and retriever together to improve RAG performance? This paper proposes a technique to do exactly that! RAG Basics: When you prompt an LLM, RAG supplies relevant documents. A separate retrieval model computes the probability of each text chunk being…
@philipvollet @GoogleAI @aestheticedwar1 @victorialslocum @ajitm1stry It's great to see AI being used for a good purpose!
🧐 is this some kind of new T-Swift concert? 🙇♂️ nope! It's the awesome @weaviate_io team showing some awesome RAG feedback loops with Google #Gemini on stage during the Princess Máxima Center for pediatric oncology hackathon!
Discover the potential of graph-based metadata filtering using @neo4j and @LangChainAI in my latest post! blog.langchain.dev/graph-based-me…
@philipvollet It's so good to see you! Well done team! 👏🏽 I guess it's time to use Weaviate for all the fun AI+RAG projects. 💚
After years of working in the automotive industry, I think this community showcase is pretty cool! Cyrill Hug from @HPE has built an LLM-powered chatbot to chat with your car’s manual. This app is based on RAG and is deployed entirely on-prem using @weaviate_io via Kubernetes.
Team @weaviate_io at the Solve with Google Hackathon today! 🥳
@philipvollet weird, someone just like this texted asking to be my friend cc @itsajchan 😅
Am I the only one who thinks this was a missed opportunity to title the paper: "DoRA: the Weight-Decomposed expLoRA"? All joking aside, researchers recently proposed DoRA, a new fine-tuning technique for LLMs. Specifically, it is a new PEFT technique and an alternative to LoRA.
Verba’s “Beautiful-Frontend ✨” Update is getting closer and closer! We redesigned the RAG frontend entirely and made it more intuitive, clean, and fully customizable 🤩 The update should also fix many of the existing bugs, both frontend and backend, and preferably won’t…
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We’re super excited to join the Solve with @Google Hackathon and work with the Prinses Máxima Centrum voor kinderoncologie (@prinsesmaximac) and the attending teams to build generative AI projects with Gemini and Weaviate! The teams will work on projects on various topics to…
We’re super excited to join the Solve with @Google Hackathon and work with the Prinses Máxima Centrum voor kinderoncologie (@prinsesmaximac) and the attending teams to build generative AI projects with Gemini and Weaviate! The teams will work on projects on various topics to…
Out now: Thinc v9.0! 🔮 This release is the foundation of the upcoming spaCy v4 release and adds support for more powerful learning rates. We have also merged thinc-apple-ops into Thinc, so Apple AMX is supported out-of-the-box. Details & release notes: github.com/explosion/thin…
If you're at @PyConDE, come say hi! Happy to talk about spaCy, Typer, NLP, or anything data or OSS related!
Pretty excited to give this talk tomorrow @github. It's going to cover some new features from Weaviate 1.24 and be a highly engaging demo for the audience. If you're @aicampai meetup tmr at GitHub, you know where to find me! I wonder what I should 3D Print this time! 🤔
🎤 AI meetup: AI, LLMs, and ML with @itsajchan San Francisco, 5:30 pm PT Join us at the monthly in-person AI meetup in San Francisco with AI Camp for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers.…
Python brings people together🐍💛 @mathsppblog @bilgeycl