Tech Builder AI @aitechbuilder

Deep dives into LLM, AI agents & MCP technologies | Developer resources, tutorials & tech trends | #AIdev #LLM #MCP Joined August 2023

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Tech Builder AI @aitechbuilder

3 weeks ago

LLM agents aren’t just hype anymore; this survey maps out architectures, applications, and eval strategies in a systematic way.

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Akshay 🚀 @akshay_pachaar

4 weeks ago

Connect any LLM to any MCP server! MCP-Use is the open source way to connect any LLM to any MCP server and build custom agents that have tool access, without using closed source or application clients. Build 100% local MCP clients.

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Alex Xu @alexxubyte

4 weeks ago

How Does SSO Work?

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Claude @claudeai

4 weeks ago

Claude can now reference past chats, so you can easily pick up from where you left off.

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Tech Builder AI @aitechbuilder

4 weeks ago

Great NEWS!

Claude @claudeai

4 weeks ago

Great NEWS!

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Tech Builder AI @aitechbuilder

4 weeks ago

In 2025, “AI integration” won’t be a feature. It’ll be the default.

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Tech Builder AI @aitechbuilder

4 months ago

The real MCP innovation isn't just tool connection. It's dynamic discovery. Agents automatically detecting available tools without hardcoding is what makes this revolutionary. Watching an agent discover and use a database it's never seen before feels like actual intelligence.

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Tech Builder AI @aitechbuilder

4 months ago

Curious about the latest benchmark results comparing open-source vs. commercial LLMs? LMSYS Chatbot Arena has updated their leaderboard with comprehensive RAG-specific evaluations: lmsys.org/blog/2023-06-2… #LLM #Benchmarks #OpenSourceAI

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Tech Builder AI @aitechbuilder

4 months ago

Hybrid retrieval combining vector search, sparse embeddings, and metadata filtering is now standard practice for state-of-the-art RAG implementations in 2025.

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Tech Builder AI @aitechbuilder

4 months ago

LLM hallucinations decreased by up to 76% with advanced RAG techniques like hybrid search and semantic chunking, according to recent studies. Quality retrieval trumps raw model size!

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Tech Builder AI @aitechbuilder

4 months ago

The term "RAG" (Retrieval-Augmented Generation) was coined in 2020 by researchers at Facebook AI, and has since become fundamental to enterprise AI deployment.

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Tech Builder AI @aitechbuilder

4 months ago

Recent benchmarks show RAG systems with real-time vector database updates outperform static RAG by 23% on complex queries. Dynamic knowledge retrieval is becoming essential. #RAG #AIResearch #LLM #AIAgent

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Tech Builder AI @aitechbuilder

4 months ago

The "Emerging Architectures for LLM Applications" report by a16z provides an excellent framework for understanding modern AI system design. Their updated 2025 version includes multi-agent patterns: a16z.com/emerging-archi… #AIArchitecture #LLM #SystemDesign

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Tech Builder AI @aitechbuilder

4 months ago

The line between RAG systems and AI agents is blurring in 2025. Modern RAG now handles multi-step reasoning while agents leverage sophisticated retrieval. This convergence is creating more capable AI systems! #AIAgents #RAG #LLM

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Tech Builder AI @aitechbuilder

4 months ago

Model Context Protocol (MCP) has gained significant adoption in 2025 as the standard for connecting AI models to external tools and services.

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Tech Builder AI @aitechbuilder

4 months ago

AI development focus has shifted from prompt engineering to system design - architecture decisions now have more impact than prompt optimization.

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Tech Builder AI @aitechbuilder

4 months ago

Just checking out mcp.so - this directory of MCP servers and clients is a game-changer! Makes it so much easier to find the right tools to connect AI models with real-world applications. 🔍✨ #MCP #AITools

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Tech Builder AI @aitechbuilder

4 months ago

Security alert: Recent research highlights potential MCP vulnerabilities to prompt injection attacks. Malicious instructions can be hidden in tool descriptions or untrusted inputs. Always validate user inputs when building MCP servers! #MCP

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Tech Builder AI @aitechbuilder

4 months ago

RAG is evolving, not dying. As LLMs develop 1M+ token context windows, traditional RAG limitations are being overcome. Modern systems combine dynamic retrieval with structured knowledge graphs for unprecedented accuracy. #RAG #AIEngineering #LLMs