12 results for "vect"
Why isn’t LLM reasoning done in vector space instead of natural language?
Why don’t LLMs use explicit vector-based reasoning instead of language-based chain-of-thought? What would happen if they did? Most LLM reasoning we see is expressed through language: step-by-step text…
Don't pay Vect a ransom - your data's likely already wiped out
'Full recovery is impossible for anyone, including the attacker' Organizations hit by the wave of Trivy and LiteLLM supply-chain compromises that paid Vect in hopes of recovering their data likely did…
Show HN: Figma alternative where AI works with vector primitives, not code
You + AI agents, designing directly on the canvas. A free professional vector tool with GitHub-style repositories. Real vectors, fully editable.…
The vector similarity matching in my anonymous thought app taught me a lot about React state management at scale
Step-by-Step Guide to Building RAG with LlamaIndex 0.10 and Vector 0.4 for Docs Search
80% of engineering teams building RAG pipelines for internal documentation search waste 3+ weeks...…
War Story: We Replaced Pinecone 1.5 with Milvus 2.4 and Reduced Our Vector DB Cost by 49%
\n At 3:17 AM on a Tuesday, our Pinecone 1.5 bill hit $42,000 for the month – 72% over budget, with...…
The matching feature in my app runs entirely on vector embeddings, here's how the React side handles real-time semantic pairing
Same algorithm, 16x faster: optimizing a vector search engine’s hot path
HeLa-Mem: Hebbian Learning and Associative Memory for LLM Agents
Long-term memory is a critical challenge for Large Language Model agents, as fixed context windows cannot preserve coherence across extended interactions. Existing memory systems represent conversatio…
FormalScience: Scalable Human-in-the-Loop Autoformalisation of Science with Agentic Code Generation in Lean
Formalising informal mathematical reasoning into formally verifiable code is a significant challenge for large language models. In scientific fields such as physics, domain-specific machinery (\textit…
GSAR: Typed Grounding for Hallucination Detection and Recovery in Multi-Agent LLMs
Autonomous multi-agent LLM systems are increasingly deployed to investigate operational incidents and produce structured diagnostic reports. Their trustworthiness hinges on whether each claim is groun…
SoccerRef-Agents: Multi-Agent System for Automated Soccer Refereeing
Refereeing is vital in sports, where fair, accurate, and explainable decisions are fundamental. While intelligent assistant technologies are being widely adopted in soccer refereeing, current AI-assis…