Selecting Tools and Libraries for Agentic Workflows @ai-science
Selecting Tools and Libraries for Agentic Workflows  @ai-science
Uploaded June 2025 | Updated September 2026, 3 weeks ago
In this session, we explore how to choose the right AI models for your workflow, which is one of the most critical steps in building effective agentic applications. Your model selection will depend heavily on your specific use case. It also touches on key trade-offs like speed, cost, and performance, and shows how different workflows might benefit from combining multiple specialized models. If you understand the strengths and weaknesses of different models, you can design a tech stack that is both efficient and effective, setting a strong foundation for your AI application.


#LLMComparison #AIWorkflowDesign #AgenticAI #OpenAI #Llama4 #GPT4o #o4Mini #MultimodalAI #ReasoningModels #CodingModels #BenchmarkingAI #LLM

Where else to find us:
linkedin.com/in/amirfzpr
aisc.substack.com
youtube.com/@ai-science
https://lu.ma/aisc-llm-school
maven.com/aggregate-intellect
Selecting Tools and Libraries for Agentic WorkflowsHuman Feedback Foundation - LLMsCausal Representation LearningSemi Supervised Learning: Introduction - Session 1Hard Lessons in AI Product Design: Designing AI Product People Actually TrustI Turned Obsidian Into an AI-Powered Research BrainPractical Ways to Evaluate GenAI OutputsThis RAG System Automates Complex Regulatory WorkflowsMedicare Verification is Broken. I Built an Agentic Solution to Fix it.Vault - Your Smart Document AssistantBuilding an AI Traceability Agent for Flight SoftwareLLM Evaluation, Validation, and Verification
LLMs Explained - Aggregate Intellect - AI.SCIENCE |

Selecting Tools and Libraries for Agentic Workflows

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