Rodrigo Mansueliblog.mansueli.com·8 hours agoExecuting Dynamic JavaScript Code on Supabase with Edge FunctionsSupabase is a powerful backend service that makes it easy for developers to work with real-time data, authentication, and more. One of the most interesting features it offers is Supabase Edge Functions, which allow you to create and run serverless fu...Discusssupabase
Jonathan AdlyforColiVarablog.colivara.com·Nov 20, 2024From Cosine to Dot: Benchmarking Similarity Methods for Speed and PrecisionBackground Retrieval Augmented Generation (RAG) empowers large language models (LLMs) by integrating private documents and proprietary knowledge, unlocking their potential for nuanced and informed responses. However, efficiently extracting informatio...Discuss·189 readsAI
David MezzettiforNeuMLneuml.hashnode.dev·Nov 18, 2024💡 What's new in txtai 8.0txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows. The 8.0 release brings a major new feature: Agents 🚀 Agents automatically create workflows to answer multi-faceted user requests. Agents ...Discuss·138 readsTutorial series on txtaiAI
Timothy Spanntimwithpulsar.hashnode.dev·Nov 18, 2024FLAIV-KING Weekly (Flink AI Vectors Kafka) for 18 Nov 2024FLAIV-KING Weekly (Flink AI Vectors Kafka Intelligence NiFi ) #164 - 18-November-2024 https://bsky.app/profile/paasdev.bsky.social The Coolness this week 🌐 Flink or Quix or RisingWave or Spark or Bytewax or ...🌐 Important new API for Moderating by ...Discussapache-flink
DataOps Labsblog.dataopslabs.com·Nov 14, 2024Revolutionizing Travel Booking with Agentic AI SystemsArtificial Intelligence (AI) has evolved from simple rule-based systems to complex, autonomous frameworks capable of understanding workflows and making decisions. Among the cutting-edge advancements in AI, Agentic AI Systems stand out for their abili...DiscussRAG
Jonathan AdlyforColiVarablog.colivara.com·Nov 14, 2024Optimizing Vector Storage with halfvecsRAG (Retrieval Augmented Generation) is a powerful technique that allows us to enhance large language models (LLMs) output with private documents and proprietary knowledge that is not available elsewhere. For example, a company's internal documents o...Discuss·158 readsAI
Nicolas Fränkelfrankel.hashnode.dev·Nov 14, 2024Langchain4J musingsI’m coming relatively late to the LLM party, but I rarely come very early in the hype cycle. For example, I never bought into blockchain, the solution still searching for problems to solve, nor in microservices, the latest in the cargo cult IT trend...Discusslangchain4j
Rahul Lokurterahullokurte.com·Nov 13, 2024Overview of RAGWhen an User prompts the questions to the LLM, it produces the response based on the training data. The pre-trained LLM data is its parametric data. It might not have an context specific to our query. LLM still produces an answer confidently. It is t...DiscussRAG
Karampuri Laxmi Narsimha Swamyswamy.hashnode.dev·Nov 13, 2024RAG vs Fine-tuning: Which is Better for Your LLM Strategy?Unlocking the Power of Generative AI: RAG and Fine-tuning decision framework I. This is real!! Imagine this scenario: a lawyer uses ChatGPT to assist with legal research for a high-stakes case. He trusts the AI’s capabilities, expecting it to streaml...DiscussAI
Andrii Melashchenko, PhDProblog.javatask.dev·Nov 12, 2024What C-Level Leaders Need to Know About AI AgentsIntroduction Why should you, as a senior executive or manager, spend precious time on "hyped" generative AI topics? I will offer your business a productivity boost, and then it is up to you to invest time into it. In this article, I will try to offer...Discuss·26 readsAgentic AI#agent
