Code With MEMO

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How to train your AI model.

Write about your life journey, because if you don’t track it, you cannot see your progress or growth. Always remind yourself to focus on building the right mindset so you can reach the place you want to be. Enjoy coding ✏️✒️ @codewithmemo @codewithmemo

Machine Learning in Python completely for beginners Here’s what you’ll learn: Linear Regression - The foundation of predictive modeling Logistic Regression - Predicting probabilities and classifications Clustering (K-Means, Hierarchical) - Making sense of unstructured data Overfitting vs. Underfitting - The balancing act every ML engineer must master OLS, R-squared, F-test - Key metrics to evaluate your models @codewithmemo @codewithmemo

Thank you very much our Hero 🙌 https://t.me/devWithEyob/2255

Thanks very much our hero🙌 https://t.me/codewithmemo/694

https://t.me/InformationSystemsHub/1236 Thanks very much 🥰🥰🥰https://t.me/InformationSystemsHub

🧠 Python libraries for AI agents - complexity of learning 🔥 🟢 Easy  • LangChain    • tool calling    • agent memory    • simple agents  • CrewAI    • agents with roles    • collaboration of several agents  • SmolAgents    • lightweight agents    • quick experiments  🟡 Medium  • LangGraph    • stateful workflow    • agent orchestration  • LlamaIndex    • RAG pipelines    • data indexing    • knowledge agents  • OpenAI Agents SDK    • tool integrations    • agent workflows  • Strands    • agent orchestration    • task coordination  • Semantic Kernel    • skills / plugins    • AI process orchestration  • PydanticAI    • typed LLM applications    • structured agent workflows  • Langroid    • message exchange between agents    • interaction with tools  🔴 Difficult  • AutoGen    • multi-agent dialogues    • autonomous agent cooperation  • DSPy    • programmable prompting    • optimization of LLM pipelines  • A2A    • agent-to-agent protocol    • distributed agent systems

🧠 Python libraries for AI agents - complexity of learning 🔥 🟢 Easy  • LangChain    • tool calling    • agent memory    • simple agents  • CrewAI    • agents with roles    • collaboration of several agents  • SmolAgents    • lightweight agents    • quick experiments  🟡 Medium  • LangGraph    • stateful workflow    • agent orchestration  • LlamaIndex    • RAG pipelines    • data indexing    • knowledge agents  • OpenAI Agents SDK    • tool integrations    • agent workflows  • Strands    • agent orchestration    • task coordination  • Semantic Kernel    • skills / plugins    • AI process orchestration  • PydanticAI    • typed LLM applications    • structured agent workflows  • Langroid    • message exchange between agents    • interaction with tools  🔴 Difficult  • AutoGen    • multi-agent dialogues    • autonomous agent cooperation  • DSPy    • programmable prompting    • optimization of LLM pipelines  • A2A    • agent-to-agent protocol    • distributed agent systems

Great, great work Chapi Dev Talks 👏 I actually had this idea before, but I couldn’t manage it at the time. Now I’m ready to help take our language to the next level in AI. 🚀

🚀 Introducing Dataset.ET The future of AI should speak Ethiopian languages. Today we are launching Dataset.ET — an open community initiative to build the largest dataset for Ethiopian languages. Why this matters: Most AI systems today barely understand Amharic, Afaan Oromo, Tigrinya, Somali, and many other Ethiopian languages. Without datasets, AI will ignore our languages. Dataset.ET is changing that. What we are building: • Speech datasets • Text datasets • Community-validated language corpora • Open infrastructure for Ethiopian AI How you can help: 1️⃣ Record sentences using our Telegram bot 2️⃣ Validate recordings from other contributors 3️⃣ Help expand datasets for Ethiopian languages No technical skills needed — just your voice and your language. 🤖 Start contributing: https://t.me/dataset_et_bot 🌍 Learn more: https://dataset.et 💬 Join the community: https://t.me/dataset_et Together we can teach AI to understand Ethiopia. 📢 Community leaders & channel admins:

If you run a Telegram group or community and believe Ethiopian languages should be part of the future of AI, we would really appreciate it if you could share this post with your community. Your support can help thousands of people contribute their language and voice to this initiative. Thank you!

Finished in the first place in Zulu challenge. Thanks all Your support ❤

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