Kelet โ Root Cause Analysis agent for your LLM apps
#HackerNews #Kelet #RootCauseAnalysis #LLMapps #AItechnology #SoftwareDevelopment
Kelet โ Root Cause Analysis agent for your LLM apps
#HackerNews #Kelet #RootCauseAnalysis #LLMapps #AItechnology #SoftwareDevelopment
Just shipped a deep-dive for Java devs who want real stateful LLM apps.
Persistent memory. Sliding windows. Multi-session isolation.
All powered by Quarkus + LangChain4j + JPA.
If you want your AI assistant to remember across pods and restarts, this tutorial will get you there.
๐ https://www.the-main-thread.com/p/persistent-llm-memory-java-quarkus-langchain4j-tutorial
#Java #Quarkus #LangChain4j #AIEngineering #LLMApps #OpenSource
AI apps monetization is ๐ฅ but tricky.
What's your biggest blocker today?
A) Not sure which prompts have value
B) Don't want to ruin user experience
C) No privacy-safe solution
D) Canโt track intent clusters
Like + reply ๐
(Weโre building VexRail to solve all 4)
#AI #LLMapps #StartupDev
Exciting news! LangSmith now offers dynamic few-shot example selectors, allowing you to rapidly improve LLM app performance with just one click. Say goodbye to manual dataset curation and hello to efficiency! ๐ #LangSmith #LLMApps
https://blog.langchain.dev/dynamic-few-shot-examples-langsmith-datasets/
With dynamic few-shot examples in LangSmith, you can Index examples in your datasets in one click and dynamically select the most relevant few-shot examples based on user input. This lets you rapidly iterate and improve LLM app performance.
๐๐จ๐ฉ๐ข๐ฅ๐จ๐ญ ๐๐จ๐ซ ๐๐๐๐ฎ๐ซ๐ข๐ญ๐ฒ: ๐๐ฅ๐๐ฆ๐๐ง๐ญ๐ฌ ๐จ๐ ๐๐ง ๐๐๐๐๐๐ญ๐ข๐ฏ๐ ๐ฉ๐ซ๐จ๐ฆ๐ฉ๐ญ
From the "Get started with Microsoft Copilot for Security" online training, I highlight this interesting in-depth analysis.
๐๐๐๐๐๐ญ๐ข๐ฏ๐ ๐ฉ๐ซ๐จ๐ฆ๐ฉ๐ญ๐ฌ give Copilot adequate and useful parameters to generate a valuable response. Security analysts or researchers should include the following elements when writing a prompt.
๐ก ๐๐จ๐๐ฅ - specific, security-related information that you need
๐ก๐๐จ๐ง๐ญ๐๐ฑ๐ญ - why you need this information or how you'll use it
๐ก๐๐ฑ๐ฉ๐๐๐ญ๐๐ญ๐ข๐จ๐ง๐ฌ - format or target audience you want the response tailored to
๐ก๐๐จ๐ฎ๐ซ๐๐ - known information, data sources, or plugins Copilot should use
At this link other prompting tips:
Full training: https://learn.microsoft.com/en-us/training/paths/security-copilot-and-ai/
#copilot #copilotforsecurity #securitycopilot #microsoft #microosoftsecurity #llm #openai #azureopenai #llmapps #soc #generativeai #genai #cybersecurity #azure #cloudsecurity #cloudnative #defender #sentinel #microsoftsentinel #xdr #defenderxdr #prompt #promptengineering