Can Google's ADK Replace LangChain and MCP?
Christina Lin (Google) demos Agent Development Kit (ADK), open-source Python framework for agentic pipelines: assemble LLMs + tools (via MCP servers/function calling) + prompts for complex workflows like version control or Friday night bookings, with grounding for cited real-time data to cut hallucinations/token costs.
https://www.youtube.com/watch?v=nMnQ63YkftE
Christina Lin (Google) demos Agent Development Kit (ADK), open-source Python framework for agentic pipelines: assemble LLMs + tools (via MCP servers/function calling) + prompts for complex workflows like version control or Friday night bookings, with grounding for cited real-time data to cut hallucinations/token costs.
https://www.youtube.com/watch?v=nMnQ63YkftE
YouTube
Can Google's ADK Replace LangChain and MCP? (with Christina Lin)
How do you build systems with AI? Not code-generating assistants, but production systems that use LLMs as part of their processing pipeline. When should you chain multiple agent calls together versus just making one LLM request? And how do you debug, test…
python-injection
Fast and easy dependency injection framework.
https://github.com/100nm/python-injection
Fast and easy dependency injection framework.
https://github.com/100nm/python-injection
GitHub
GitHub - 100nm/python-injection: Dead-simple dependency injection framework for Python.
Dead-simple dependency injection framework for Python. - 100nm/python-injection
Stop Hardcoding Everything: Use Dependency Injection
The video explains Dependency Injection (DI) in Python with a practical data pipeline example, showing how DI improves code flexibility, testability, and separation of concerns by injecting dependencies like loaders, transformers, and exporters rather than hardcoding them. It covers manual DI with functions and classes, abstraction with protocols, building a simple DI container, and DI u...
https://www.youtube.com/watch?v=Xhzn1eAxoXk
The video explains Dependency Injection (DI) in Python with a practical data pipeline example, showing how DI improves code flexibility, testability, and separation of concerns by injecting dependencies like loaders, transformers, and exporters rather than hardcoding them. It covers manual DI with functions and classes, abstraction with protocols, building a simple DI container, and DI u...
https://www.youtube.com/watch?v=Xhzn1eAxoXk
YouTube
Stop Hardcoding Everything: Use Dependency Injection
→ Check out Thesys here: https://www.thesys.dev/?utm_source=youtube&utm_medium=creators&utm_campaign=arjan
In this video, I explore how Dependency Injection can make your Python code cleaner, more testable, and easier to extend, using a real-world data pipeline…
In this video, I explore how Dependency Injection can make your Python code cleaner, more testable, and easier to extend, using a real-world data pipeline…
Context Data Platform for Self-learning Agents
One Place for Agents to Store, Observe, and Learn. Designed to simplify context engineering, improve agent reliability and task success rates.
https://github.com/memodb-io/Acontext
One Place for Agents to Store, Observe, and Learn. Designed to simplify context engineering, improve agent reliability and task success rates.
https://github.com/memodb-io/Acontext
GitHub
GitHub - memodb-io/Acontext: Context Data Platform for Agents. Join the community❤️: https://discord.acontext.io
Context Data Platform for Agents. Join the community❤️: https://discord.acontext.io - memodb-io/Acontext
PyTogether: Collaborative lightweight real-time Python IDE for teachers/learners
https://github.com/SJRiz/pytogether
https://github.com/SJRiz/pytogether
GitHub
GitHub - SJRiz/pytogether: Source code for pytogether.org — A fully browser-based collaborative IDE with real-time editing, live…
Source code for pytogether.org — A fully browser-based collaborative IDE with real-time editing, live drawing, and voice chat. - SJRiz/pytogether
kubesdk — async-first, fully typed Python SDK for Kubernetes
Open-source Python SDK with fully typed models, async client, and multi-cluster support for Kubernetes automation.
https://github.com/puzl-cloud/kubesdk
Open-source Python SDK with fully typed models, async client, and multi-cluster support for Kubernetes automation.
https://github.com/puzl-cloud/kubesdk
GitHub
GitHub - puzl-cloud/kubesdk: Kubernetes client for Python + CRD & API models generator. Fast, fully typed, async.
Kubernetes client for Python + CRD & API models generator. Fast, fully typed, async. - puzl-cloud/kubesdk
FunAudioLLM / CosyVoice
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
https://github.com/FunAudioLLM/CosyVoice
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
https://github.com/FunAudioLLM/CosyVoice
GitHub
GitHub - FunAudioLLM/CosyVoice: Multi-lingual large voice generation model, providing inference, training and deployment full-stack…
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability. - FunAudioLLM/CosyVoice
facebookresearch / sam3
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
https://github.com/facebookresearch/sam3
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
https://github.com/facebookresearch/sam3
GitHub
GitHub - facebookresearch/sam3: The repository provides code for running inference and finetuning with the Meta Segment Anything…
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho...
We Got Claude to Fine-Tune an Open Source LLM
We gave Claude the ability to fine-tune language models using a new tool called Hugging Face Skills. Not just write training noscripts, but to actually submit jobs to cloud GPUs, monitor progress, and push finished models to the Hugging Face Hub. This tutorial shows you how it works and how to use it yourself.
https://huggingface.co/blog/hf-skills-training
We gave Claude the ability to fine-tune language models using a new tool called Hugging Face Skills. Not just write training noscripts, but to actually submit jobs to cloud GPUs, monitor progress, and push finished models to the Hugging Face Hub. This tutorial shows you how it works and how to use it yourself.
https://huggingface.co/blog/hf-skills-training
huggingface.co
We Got Claude to Fine-Tune an Open Source LLM
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Learn NLP Research: 7 Papers Implemented
This video traces the evolution of neural machine translation from RNNs and LSTMs to attention mechanisms, Transformers, and multilingual models like GNMT. It includes PyTorch implementations of 7 landmark papers, mathematical explanations, and tools like Transformer Playground for hands-on learning.
https://www.youtube.com/watch?v=kRv2ElPNAdY
This video traces the evolution of neural machine translation from RNNs and LSTMs to attention mechanisms, Transformers, and multilingual models like GNMT. It includes PyTorch implementations of 7 landmark papers, mathematical explanations, and tools like Transformer Playground for hands-on learning.
https://www.youtube.com/watch?v=kRv2ElPNAdY
YouTube
From RNNs to Transformers: The Complete Neural Machine Translation Journey
This course is a comprehensive journey through the evolution of sequence models and neural machine translation (NMT). It blends historical breakthroughs, architectural innovations, mathematical insights, and hands-on PyTorch replications of landmark papers…
Python Workers redux: fast cold starts, packages, and a uv-first workflow
https://blog.cloudflare.com/python-workers-advancements/
https://blog.cloudflare.com/python-workers-advancements/
The Cloudflare Blog
Python Workers redux: fast cold starts, packages, and a uv-first workflow
Recent advancements in Cloudflare Python Workers means fast cold starts, comprehensive package support, and a great developer experience. We explain how they were achieved and show how Python can be used to build serverless applications on Cloudflare.
Extracting Structured Data from Patient Intake Forms with DSPy and CocoIndex
Extract clean, typed, Pydantic-validated structured data directly from PDFs
https://cocoindex.io/blogs/extraction-dspy
Extract clean, typed, Pydantic-validated structured data directly from PDFs
https://cocoindex.io/blogs/extraction-dspy
cocoindex.io
Extracting Structured Data from Patient Intake Forms with DSPy and CocoIndex | CocoIndex
Continuously extract clean, typed, Pydantic-validated structured data directly from patient intake forms, using DSPy and CocoIndex. This tutorial demonstrates building scalable, production-grade AI pipelines with typed Pydantic validation, OCR vision models…
robyn-config — CLI to scaffold production-ready Robyn apps
Production-ready Robyn backend boilerplate generator with flexible project layouts, ORM support, and CLI tooling for fast project setup
https://github.com/Lehsqa/robyn-config
Production-ready Robyn backend boilerplate generator with flexible project layouts, ORM support, and CLI tooling for fast project setup
https://github.com/Lehsqa/robyn-config
GitHub
GitHub - Lehsqa/robyn-config: 🧩 Production-ready Robyn backend boilerplate generator with flexible project layouts, ORM support…
🧩 Production-ready Robyn backend boilerplate generator with flexible project layouts, ORM support, and CLI tooling for fast project setup - Lehsqa/robyn-config