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536 postsLangChain4j and Spring AI: Connecting Your Java Apps to LLMs
LangChain4j and Spring AI simplify the integration of Java applications with LLMs.
Building a Hybrid RAG API: The LLM Was the Easy Part
Challenges in building a hybrid RAG API and its importance for engineers. Details on PDF processing and question answering.
Rules or Examples in LLM Context: What Works Best?
A study exploring the impact of rules vs examples in LLM contexts, focusing on data analytics use cases.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comOpenAI's GPT-Red: A Super Hacker LLM for Enhanced Model Security
OpenAI's GPT-Red is a super-hacker LLM that automates security testing, enhancing model defenses against cyber threats.
Exploiting LLM Vulnerabilities: Accessing Dangerous Instructions
Dave Kuszmar revealed vulnerabilities in LLMs that allowed access to dangerous instructions, indicating a critical security issue across the industry.
Type-safe LLM Outputs with Zod: Stop Guessing What the Model Returns
Manage your LLM outputs safely with Zod. Define schemas and validate to prevent errors.
SociaLLM Engineering: Manipulating AI Agents and Solutions
SociaLLM engineering explores methods to manipulate AI agents. A crucial topic for engineers.
MCP Series (05): Dynamic Data and Multi-Turn Templates
Learn about dynamic resources, parameterized URIs, and multi-turn templates in the MCP series.
Prompt Injection as a Control/Data Boundary Problem
Reframing prompt injection as a control/data boundary problem enhances security. A two-channel design separates untrusted content from trusted instructions.
Reducing HBM Bottlenecks in JAX-Based LLM Training
Methods to enhance efficiency in LLM training by reducing HBM pressure with JAX.