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Soofi Consortium Releases Soofi S 30B-A3B: An Open Hybrid Mamba-Transformer MoE Foundation Model For German And English
ByRicardoA German analysis consortium has printed the pretraining report for Soofi S 30B-A3B. It is an open base mannequin for German and English. Training ran finish to finish on Deutsche Telekom’s Industrial AI Cloud in Munich. Preview weights are on Hugging Face. It is value noting that amongst among the totally open base fashions examined,…
Meet Elysia: A New Open-Source Python Framework Redefining Agentic RAG Systems with Decision Trees and Smarter Data Handling
ByRicardoIn case you’ve ever tried to construct a agentic RAG system that really works properly, you understand the ache. You feed it some paperwork, cross your fingers, and hope it doesn’t hallucinate when somebody asks it a easy query. More often than not, you get again irrelevant chunks of textual content that hardly reply what…
A End-to-End Coding Guide to Running OpenAI GPT-OSS Open-Weight Models with Advanced Inference Workflows
ByRicardoIn this tutorial, we discover how to run OpenAI’s open-weight GPT-OSS fashions in Google Colab with a powerful deal with their technical habits, deployment necessities, and sensible inference workflows. We start by establishing the precise dependencies wanted for Transformers-based execution, verifying GPU availability, and loading openai/gpt-oss-20b with the proper configuration utilizing native MXFP4 quantization, torch.bfloat16…
Implementing Deep Q-Learning (DQN) from Scratch Using RLax JAX Haiku and Optax to Train a CartPole Reinforcement Learning Agent
ByRicardoIn this tutorial, we implement a reinforcement learning agent using RLax, a research-oriented library developed by Google DeepMind for building reinforcement learning algorithms with JAX. We combine RLax with JAX, Haiku, and Optax to construct a Deep Q-Learning (DQN) agent that learns to solve the CartPole environment. Instead of using a fully packaged RL framework,…
Google AI Releases TranslateGemma: A New Family of Open Translation Models Built on Gemma 3 with Support for 55 Languages
ByRicardoGoogle AI has released TranslateGemma, a suite of open machine translation models built on Gemma 3 and targeted at 55 languages. The family comes in 4B, 12B and 27B parameter sizes. It is designed to run across devices from mobile and edge hardware to laptops and a single H100 GPU or TPU instance in the…
A Coding Implementation on Microsoft’s Phi-4-Mini for Quantized Inference Reasoning Tool Use RAG and LoRA Fine-Tuning
ByRicardoIn this tutorial, we construct a pipeline on Phi-4-mini to discover how a compact but extremely succesful language mannequin can deal with a full vary of recent LLM workflows inside a single pocket book. We start by establishing a secure atmosphere, loading Microsoft’s Phi-4-mini-instruct in environment friendly 4-bit quantization, and then transfer step-by-step via streaming…
