How many of us are evaling our skills?
Apastra는 AI 에이전트의 프롬프트와 스킬을 로컬에서 평가할 수 있는 경량화된 평가 프레임워크입니다. YAML과 JSONL 기반의 명세로 프롬프트, 데이터셋, 평가자, 테스트 스위트를 정의하며, 단위 테스트처럼 프롬프트 동작을 반복 검증할 수 있습니다. GitHub Actions와 연동한 자동 회귀 테스트도 지원해 품질 저하를 사전에 감지할 수 있습니다. 언어 독립적이며 Python 런타임을 포함해 간단히 설치해 바로 사용할 수 있어 AI 에이전트 개발과 운영에 유용합니다.
https://github.com/BintzGavin/apastra
#aievaluation #prompttesting #agentdevelopment #regressiontesting #apastra
fly51fly (@fly51fly)
에이전트(agents) 개발이 실제 현업 업무(work)와 얼마나 잘 일치하는지를 조사한 연구입니다. CMU 연구진이 다양한 에이전트 개발 관행과 태스크 설계가 현실 세계의 작업 흐름을 반영하는지 평가하며, 에이전트 연구와 실제 적용 간 격차를 진단하고 개선 방향을 제시합니다. (CMU, 2026)
Why I chose to fine-tune my models and what it taught me about building better AI agents. Learn how fine-tuning improves AI agent performance, safety, and cost optimization. Read here: https://legacystories.org/storyboard/entry/why-i-chose-to-fine-tune-my-models-and-what-it-taught-me-about-building-better-ai-agents
Build smarter AI agents faster with RubikChat.
#FineTuneModels #ModelFineTuning #LLMFineTuning #AIAgents #AgentDevelopment #AgentBuilder #AgentOrchestration #AIDeployment #PromptEngineering #RAG #TrainingDataset #AIAgentPerformance #AgentSafety #CostOptimization #AI #MachineLearning
via #AIFoundry : Announcing Azure Language in Foundry Tools for deterministic, privacy-first agents
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#AzureLanguage #FoundryTools #AI #PrivacyFirst #DeterministicAI #LanguageAI #MCPServer #AgentDevelopment #PIIRedaction #ConversationalAI #EnterpriseSolut…
In today’s rapidly evolving AI landscape, developers are seeking reliable, secure, and predictable language capabilities to power the next generation of enterprise-grade agents. As agentic architecture becomes central to modern applications, teams need tools that deliver stronger privacy guarantees, deterministic behavior, and seamless integration across their AI stack. As part of the broader transition from […]
via @dotnet : Introducing Microsoft Agent Framework (Preview): Making AI Agents Simple for Every Developer
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#MicrosoftAgentFramework #AI #Developers #AgentDevelopment #DotNet #MachineLearning #AIWorkflows #Chatbots #SoftwareDevelopment #Aut…
via #AIFoundry : Ground Your Agents Faster with Native Azure AI Search Indexing in Foundry
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#AzureAI #Foundry #AIIndexing #DataIngestion #AzureBlobStorage #ADLSGen2 #MicrosoftOneLake #AgentDevelopment #KnowledgeGrounding #EmbeddingModels #HybridRetrieval…
Instantly ground your Azure AI Foundry agents with enterprise data using native Azure AI Search indexing. Ingest content from Azure Blob Storage, ADLS Gen2 or Microsoft OneLake and create a vector search index in one click—no manual setup required. Discover how to accelerate agent deployment, improve retrieval, and streamline your developer workflow with step-by-step guidance. Published by Farzad Sunavala.
On March 11, 2025, OpenAI released something that’s making a lot of developers and AI enthusiasts pretty excited — a 32-page guide called “A Practical Guide to Building Agents.” It’s a step-by-step manual to help people build smart AI agents
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