ErwinH

ErwinH

@erwinlearns.bsky.social

Building the future of LLMs @ Google Fine-tuning and LLMOps My views https://www.linkedin.com/in/erwinhuizenga/

37 followers26 following110 posts

DeepSeek has released their upgraded DeepSeek-R1-0528 model. 🔹 Improved benchmark performance 🔹Enhanced front-end capabilities 🔹Supports JSON output & function calling We've made sure its available from day one on Vertex AI for deployment. with Nvidia's H200

Yesterday the DeepMind team introduced AlphaEvolve: a Gemini-powered coding agent for algorithm discovery. What I find impressive is that a single system can contribute to numerous open problems in maths and computer science. Which proves that Agents can discover novel and useful algorithms

Google is running an Agents hackathon using the Agent Development Kit (ADK). What it offers: 🛠️ Build with the Agent Development Kit (ADK) 🏆 $50K cash prize pool 🧑‍🏫 Insights from Google experts Sign up link below 👇

ErwinH reposted

Happy 99th birthday to the man who gave voice to the wild. 🎉 Sir David Attenborough, thank you for a lifetime dedicated to the natural world, and for sharing its story with wisdom, wonder, and grace. You've inspired generations to fall in love with nature.

We just dropped Gemini 2.0 Flash Image Generation. Its available on Vertex AI (preview) and AI Studio. Offering better visual quality and more accurate text rendering. Notebook below to get you started 👇

Gemini 2.5 Pro just got an upgrade. It' got better at coding, with significant gains in front-end web development, editing, and transformation. We also fixed a bunch of function calling issue. You can access it as gemini-2.5-pro-preview-05-06 on VertexAI and AIStudio More details in 🧵

Google just published a 2nd 76-page whitepaper on AI Agents that covers more advanced topics: > Agentic RAG > Agent Evaluation > Multi-Agent Evaluation > Production Architectures If you're comfortable with agent basics and looking to understand the next layer this is a great read 👇

Great tutorial by @kweinmeister.bsky.social 👇

Karl Weinmeister@kweinmeister.bsky.social

Build a RAG for YOUR codebase in 5 easy steps! 🚀 Query w/ natural language using Gemini & Vertex AI RAG Engine, and chat in Vertex AI Studio. 🎬 Video: youtube.com/watch?v=sgKB... 📖 Article: medium.com/google-cloud... 💾 Notebook: github.com/kweinmeister...

Agent2Agent (A2A) updates: 💻 We've just added a demo showcasing agents using the A2A protocol to interact. 📄 We've refreshed the docs to lower the barrier for you to get started. Keep sharing your A2A feedback!

Gemma 3 fine-tuning just got a serious boost! 🚀 Axolotl v0.8.0 delivers: - Up to 3.6x speedup vs HF+FA2 - ~50% memory reduction - Now includes Sequence Parallelism, Cut-Cross Entropy & Liger kernels Plus you can fine-tune Gemma-3 27B with just 21.6GB VRAM!

Qwen 3 is out. Some highlights: ↔️Offers a wide range of sizes, from 0.6B to 235B. 🧠 Includes MoE variants. 🎛️ Hybrid Thinking Control with `enable_thinking=True`. 🌍 Multilingual Support: with support for 119 languages and dialects.

Interesting insights from @FeinbergVlad talk on Gemini pretraining. This talk covers scaling laws and how scaling approaches might need to be modified in the face of inference constraints. Link below 👇

We've just launched Gemini 2.5 Flash. ⚡️High quality for best cost 🧩 Ability to dynamically think on complex tasks 🎛️ Configurable thinking budget (decide how many tokens to allocate to "thinking".

Setting up Gemma 3 with Ollama on Google Colab? I wrote down the steps I followed, including enabling streaming responses and handling multimodal inputs. Details & steps on the blog ⤵️

Excited to share the Agent Development Kit (ADK)! 🚀 ADK is a new open-source, flexible framework designed to simplify the development and deployment of multi-agent systems. Check out the quickstart below ⬇️

Get hands-on with Gemma 3 without the setup headache? Hereby an updated guide that helps you get started with Gemma 3 and @ollama on Colab for a fast start. Based on one of our most popular 2024 posts. ⤵️

Exciting news! Gemini 2.5 is now also available on Vertex AI. Plus you can try it out in Express Mode. No GCP login required! You can find it using the model ID gemini-2.5-pro-exp-03-25 through both the UI and SDK. See below how to get started ⤵️

Diving into Multimodal Fine-Tuning with Gemini 2.0. This opens doors for more fine-tuned AI agents capable of richer reasoning. Notebooks to get you started below ⤵️