Founder | Agentic AI... • 1h
The AI stack you should master in 2025. I’ve broken down every tool in one simple line. 1. 𝗠𝗲𝘁𝗮𝗚𝗣𝗧 — Agents collaborate using structured software-team roles. 2. 𝗖𝗿𝗲𝘄𝗔𝗜 — Coordinates multiple specialized agents to complete tasks. 3. 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻 — Framework for building reasoning, tool-using AI agents. 4. 𝗚𝗶𝘁𝗛𝘂𝗯 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 — Assists developers by suggesting context-aware code. 5. 𝗦𝗛𝗔𝗣 — Explains model predictions using feature importance scores. 6. 𝗧𝗲𝗻𝘀𝗼𝗿𝗥𝗲𝗰 — TensorFlow framework for building recommendation models. 7. 𝗦𝘆𝗻𝘁𝗵𝗲𝘀𝗶𝗮 — Creates AI-generated presenter videos from text. 8. 𝗧𝗿𝘂𝗟𝗲𝗻𝘀 — Evaluates LLM outputs with quality metrics. 9. 𝗢𝗽𝗲𝗻𝗡𝗠𝗧 — Open-source toolkit for neural machine translation. 10. 𝗘𝗹𝗲𝘃𝗲𝗻𝗟𝗮𝗯𝘀 — High-quality platform for realistic AI voice generation. 11. 𝗗𝗲𝗲𝗽𝗦𝗽𝗲𝗲𝗱 — Optimizes training and inference for large models. 12. 𝗟𝗮𝗯𝗲𝗹 𝗦𝘁𝘂𝗱𝗶𝗼 — Multi-format tool for labeling and annotating data. 13. 𝗜𝗕𝗠 𝗪𝗮𝘁𝘀𝗼𝗻 — Enterprise AI services for NLP and cognitive tasks. 14. 𝗣𝗿𝗼𝗱𝗶𝗴𝘆 — Fast, scriptable annotation tool for NLP pipelines. 15. 𝗣𝗿𝗼𝗽𝗵𝗲𝘁 — Simple, accurate time-series forecasting library. 16. 𝗟𝗼𝗥𝗔 — Lightweight, efficient method for fine-tuning models. 17. 𝗘𝘃𝗶𝗱𝗲𝗻𝘁𝗹𝘆 𝗔𝗜 — Monitors data drift and continual model performance. 18. 𝗠𝗶𝗱𝗷𝗼𝘂𝗿𝗻𝗲𝘆 — AI tool for generating images from prompts. 19. 𝗚𝗿𝗲𝘁𝗲𝗹.𝗮𝗶 — Generates synthetic datasets for safe model training. 20. 𝗠𝗟𝗳𝗹𝗼𝘄 — Manages experiment tracking and model deployments. 21. 𝗥𝗟𝗹𝗶𝗯 — Scalable reinforcement learning library built on Ray. 22. 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 — Creates interactive dashboards and visual analytics. 23. 𝗕𝗲𝗻𝘁𝗼𝗠𝗟 — Packages and serves machine-learning models as APIs. 24. 𝗪𝗵𝗶𝘀𝗽𝗲𝗿 — Robust multilingual speech-to-text transcription model. 25. 𝗙𝗹𝗼𝘄𝗚𝗣𝗧 — Community marketplace for effective AI prompt templates. 26. 𝗠𝗮𝗸𝗲.𝗰𝗼𝗺 — No-code platform for automating workflows and APIs. 27. 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲 — Hub for models, datasets, and NLP tools. 28. 𝗔𝘂𝘁𝗼𝗚𝗲𝗻 — Builds conversational multi-agent workflows in Python. 29. 𝗥𝗮𝘀𝗮 — Framework for building production-grade conversational bots. 30. 𝗢𝗽𝗲𝗻𝗖𝗩 — Essential library for computer vision and image processing. You don’t need to learn everything at once. Choose the tools that match your goals in your business and grow from there. ✅ Repost for others in your network who can benefit from this.



Hey I am on Medial • 8m
make ai agents without writing single line of code Microsoft AutoGen: Advancing AI Agent Collaboration Microsoft's AutoGen is an open-source framework designed to simplify the creation of multi-agent systems using large language models (LLMs). It a
See MoreFounder of Friday AI • 4m
We're Hiring: Machine Learning & NLP Engineers! We're building something massive in Emotionally Intelligent AI — not just another chatbot, but an entire ecosystem that thinks, feels, and adapts in real-time. If you're a student, fresher, or just so
See MoreStartups | AI | info... • 6m
AI Agents now have muscle memory. This Python SDK records agent tool-calling patterns, replays them for repeated tasks, and falls back to agent mode for edge cases. 100% Opensource. Read more here: https://www.theunwindai.com/p/muscle-memory-for-a
See More
Fonder @Altravex.ai ... • 9m
After working in Ai and learning multiple technologies saw exponential growth in this field 1 - Normal Ai 2 - Deep learning and Machine learning models 3 - GenAi ( Generative) 4 - Agentic Ai ( Ai agents) Now with ai agents you don't need anyone's h
See MoreDownload the medial app to read full posts, comements and news.