<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>AIYatra Blog</title><description>Session recaps, tutorials and guest posts from the AIYatra open-source AI community.</description><link>https://aiyatra.io/</link><item><title>EmbeddingGemma 2: A Compact Multimodal Embedding Model</title><link>https://aiyatra.io/blog/embeddinggemma-2-a-compact-multimodal-embedding-model/</link><guid isPermaLink="true">https://aiyatra.io/blog/embeddinggemma-2-a-compact-multimodal-embedding-model/</guid><description>EmbeddingGemma 2 is Google’s latest open embedding model for semantic search and retrieval-augmented generation (RAG). Built on Gemma 4, it maps text, source code, images, video, and audio into a shared 768-dimensional vector space. It is released under the Apache 2.0 license and scales from 270 million to 740 million parameters depending on the modalities you enable.</description><pubDate>Thu, 08 Oct 2026 00:00:00 GMT</pubDate><category>Guest post</category><category>EmbeddingGemma</category><category>Gemma</category><category>Multimodal AI</category><category>AI Embeddings</category><category>RAG</category><category>Semantic Search</category></item><item><title>Supervised Fine-Tuning to Reinforcement Learning — Train Models to Think Better</title><link>https://aiyatra.io/blog/sft-to-rl/</link><guid isPermaLink="true">https://aiyatra.io/blog/sft-to-rl/</guid><description>SFT with LoRA, DPO and GRPO on a pretrained model — rewards, preferences and the hard question — better at the task, or just better at the reward?</description><pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate><category>Session recap</category></item><item><title>Harnessing Agentic AI — Build Tools That Build Code</title><link>https://aiyatra.io/blog/harnessing-agentic-ai/</link><guid isPermaLink="true">https://aiyatra.io/blog/harnessing-agentic-ai/</guid><description>Build the loop, the tools and the guardrails — and make your own coding agent that reads, plans, edits, tests and repairs its way to a verified pull request. 100% offline, zero API keys.</description><pubDate>Sat, 05 Sep 2026 00:00:00 GMT</pubDate><category>Session recap</category></item><item><title>PyTorch Foundations — Tensors, Autograd and the Training Loop</title><link>https://aiyatra.io/blog/pytorch-foundations/</link><guid isPermaLink="true">https://aiyatra.io/blog/pytorch-foundations/</guid><description>Tensors, autograd and the training loop — the foundations every AI engineer stands on. We rebuilt nn.Linear from scratch.</description><pubDate>Sat, 22 Aug 2026 00:00:00 GMT</pubDate><category>Session recap</category></item><item><title>Linear Algebra for AI Engineers — From Vectors to Transformers</title><link>https://aiyatra.io/blog/linear-algebra-to-transformers/</link><guid isPermaLink="true">https://aiyatra.io/blog/linear-algebra-to-transformers/</guid><description>Vectors to attention — embeddings, Q/K/V projections, LoRA and SVD, the math beneath the models, by hand.</description><pubDate>Sat, 15 Aug 2026 00:00:00 GMT</pubDate><category>Session recap</category></item><item><title>Building DeepSeek-V3 From Scratch — MLA, MoE and RoPE in PyTorch</title><link>https://aiyatra.io/blog/deepseek-v3-from-scratch/</link><guid isPermaLink="true">https://aiyatra.io/blog/deepseek-v3-from-scratch/</guid><description>Multi-head latent attention, MoE load balancing and RoPE scaling — the DeepSeek-V3 paper, live-coded in PyTorch.</description><pubDate>Sat, 08 Aug 2026 00:00:00 GMT</pubDate><category>Session recap</category></item><item><title>Goose AI Agent — Providers, MCP Extensions and Recipes, End to End</title><link>https://aiyatra.io/blog/goose-ai-agent-demo/</link><guid isPermaLink="true">https://aiyatra.io/blog/goose-ai-agent-demo/</guid><description>Providers, context engineering, MCP extensions and recipes — a full end-to-end run of the open-source Goose agent.</description><pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate><category>Session recap</category></item><item><title>Speculative Decoding — 2-3x Faster Inference in 60 Lines of PyTorch</title><link>https://aiyatra.io/blog/speculative-decoding-lab/</link><guid isPermaLink="true">https://aiyatra.io/blog/speculative-decoding-lab/</guid><description>Draft-verify-accept in 60 lines of PyTorch, then HF assisted generation and llama.cpp — faster inference, proven lossless.</description><pubDate>Sat, 25 Jul 2026 00:00:00 GMT</pubDate><category>Session recap</category></item><item><title>Hitchhiker&apos;s Guide to Agentic AI — Session 4: The Finale</title><link>https://aiyatra.io/blog/agentic-ai-reading-4/</link><guid isPermaLink="true">https://aiyatra.io/blog/agentic-ai-reading-4/</guid><description>Book-reading series finale: agentic patterns, discussion and reading together — online, open to everyone.</description><pubDate>Tue, 14 Jul 2026 00:00:00 GMT</pubDate><category>Session recap</category></item><item><title>Hitchhiker&apos;s Guide to Agentic AI — Session 3: Agents, Tools and Workflows</title><link>https://aiyatra.io/blog/agentic-ai-reading-3/</link><guid isPermaLink="true">https://aiyatra.io/blog/agentic-ai-reading-3/</guid><description>Session three of the Hitchhiker&apos;s Guide series — agents, tools and workflows, read and debated together.</description><pubDate>Sun, 05 Jul 2026 00:00:00 GMT</pubDate><category>Session recap</category></item><item><title>Hitchhiker&apos;s Guide to Agentic AI — Session 2: Deeper Into the Loop</title><link>https://aiyatra.io/blog/agentic-ai-reading-2/</link><guid isPermaLink="true">https://aiyatra.io/blog/agentic-ai-reading-2/</guid><description>Session two of the reading series — continuing the guided tour through agentic AI, online in the evening.</description><pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate><category>Session recap</category></item><item><title>Hitchhiker&apos;s Guide to Agentic AI — Session 1: Where the Journey Began</title><link>https://aiyatra.io/blog/agentic-ai-reading-1/</link><guid isPermaLink="true">https://aiyatra.io/blog/agentic-ai-reading-1/</guid><description>Where the reading journey began — session one of the Hitchhiker&apos;s Guide to Agentic AI, online and free.</description><pubDate>Tue, 30 Jun 2026 00:00:00 GMT</pubDate><category>Session recap</category></item><item><title>Master the Transformer — From Attention Is All You Need to Running Code</title><link>https://aiyatra.io/blog/transformer-paper-to-code/</link><guid isPermaLink="true">https://aiyatra.io/blog/transformer-paper-to-code/</guid><description>From Attention Is All You Need to running source code — the transformer, line by line, from paper to PyTorch.</description><pubDate>Sat, 20 Jun 2026 00:00:00 GMT</pubDate><category>Session recap</category></item></channel></rss>