ibrahimsharaf's Feed

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Weaviate vs AlloyDB Vector

 🗂️RAG Systems  Content type: Blog
medium.com
·

Shapes applications and tools - ISWC'20 Tutorial

 🕸️Knowledge Graphs
validatingrdf.com·

KJLdefeated/RL.cu: RLVR training for LLM in CUDA/C++

 Continuous Batching  Content type: Code
github.com··Hacker News

Drop-in sentiment, summary & NER without managing an LLM key

 🗣️NLP
rapidapi.com··DEV

When Poison Fails After Retrieval: Revisiting Corpus Poisoning under Chunking and Reranking Pipelines

 🎯Retrieval Systems  Content type: Academic
arxiv.org·

Running a Local AI Development Environment on a Mac Mini M4 with Ollama

 🔓Open Source AI  Content type: Blog
medium.com
·

Ollama 0.30 GPU Boost: Faster local Qwen inference on NVIDIA

 💻Local AI
everylocalai.com··DEV

Why AI retrieval and ranking need more than vector search

 🗂️RAG Systems
thenewstack.io·

Introducing LLM as a Judge: Scaling search relevance evaluation with AI

 📊LLM Evaluation  Content type: Blog
opensearch.org·

Mechanistic Interpretability: Solving the Agentic AI Trust Wall

 🛡️AI Safety  Content type: Discussion
bradenkelley.com·

Reasoning RL in 2026: GRPO, DPO, RLVR, Agentic PO & Beyond

 🎯RLHF
turingpost.com·

HubSpot data: AI search beats demos as top driver of CRM purchase intent

 🔎AI Search
ppc.land·
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Build RAG-powered AI solutions at the edge with AWS Local Zones and Outposts

 🗂️RAG Systems  Content type: Blog
aws.amazon.com·

Chain-of-Thought Prompting Is Not What You Think

 💬Prompt Engineering
siliconopera.com·

Beyond Black Box Scores: How Musubi Trains Custom AI for Trust and Safety Teams

 🛡️Content Moderation
producttalk.org
·

Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX

 🎯Retrieval Systems  Content type: Blog
elastic.co·

Vector Space Hackathon 2026

 🗂️RAG Systems  Content type: Blog
qdrant.tech·

A Small RAG Evaluation Harness for Production-Oriented LLM Systems

 🏢LLM Adoption  Content type: Blog
itstedpark.medium.com·

The Pydantic AI version

 📋Structured Outputs
roman.pt·

Intelligent inference scheduling with llm-d on Red Hat AI

 Continuous Batching
developers.redhat.com·

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