More from Avi Chawla | AI News
AI News
Avi Chawla
@_avichawlaDaily tutorials and insights on DS, ML, LLMs, and RAGs • Co-founder
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MongoDB Launches free AI Skill Badges
According to @_avichawla, MongoDB University launched free AI Skill Badges on embeddings, agent memory, and RAG for production apps. (Source) 07-20-2026 07:22 |
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SIE Unifies Inference, Slashes Costs 75%
According to @_avichawla, consolidating 85+ models in SIE cuts GPU costs ~75% by pooling memory and evicting LRU models across one server. (Source) 07-19-2026 07:39 |
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LMCache Accelerates LLMs 14x with CacheBlend
According to @_avichawla, LMCache’s multiprocess caching and CacheBlend deliver 14x faster TTFT and 4x faster decode on Qwen3-235B, cutting costs by up to 90%. (Source) 07-17-2026 09:51 |
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NVIDIA Molt Simplifies RL with 1-file tasks
According to @_avichawla, NVIDIA Molt runs RL from a single Python module, eliminating reward models and scaling to 1T-class MoE training. (Source) 07-14-2026 08:50 |
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Hermes Skill Bundles Supercharge Workflows
According to @_avichawla, Hermes bundles load multiple skills via one YAML, cutting setup friction and enabling team-standardized agent workflows. (Source) 07-13-2026 09:03 |
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NVIDIA SparDA Boosts Decoding 1.7x
According to @_avichawla, NVIDIA’s SparDA adds a Forecast head to prefetch KV blocks, delivering 1.7x faster decode and +6.5 long-reasoning points. (Source) 07-12-2026 10:31 |
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Multi‑agent Kanban Workflow Boosts Backend Reliability
According to @_avichawla, a 4-agent Telegram Kanban team stabilized backend builds by adding InsForge as a context layer, enabling a Google Docs clone. (Source) 07-09-2026 09:40 |
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Shepherd Boosts agent reliability with Git-like forks
According to @_avichawla, Stanford’s Shepherd snapshots live agent state, enabling fast fork replay and 95% KV cache reuse to cut tokens and errors. (Source) 07-05-2026 12:29 |
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Claude Code Commands Boost Dev Productivity
According to @_avichawla, a 50+ Claude Code command cheat sheet maps workflows for setup, review, automation, and reporting, improving developer velocity. (Source) 07-04-2026 08:45 |
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DeepSeek V4 Pro tops SWE-bench, real gains need harness
According to @_avichawla, DeepSeek V4 Pro leads SWE-bench Verified, but real coding performance depends on the harness, not just leaderboard scores. (Source) 06-29-2026 16:59 |
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LLM Prefill Decode Explained: Cut TTFT and ITL
According to @_avichawla, prefill is compute-bound and decode is memory-bound, shaping TTFT and ITL. Tackle KV cache growth with GQA, PagedAttention, quantization. (Source) 06-29-2026 09:13 |
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TriAttention Solves KV Cache Memory Bottleneck
According to @_avichawla, paged attention blocks prevent VRAM from freeing despite 90% KV eviction; NVIDIA TriAttention compacts blocks and boosts speed. (Source) 06-27-2026 11:14 |
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DFlash Boosts Qwen inference 4x with zero loss
According to @_avichawla, DFlash speculative decoding lifted a 122B Qwen model from 250 to 1000+ tokens sec with zero quality loss by parallel drafting. (Source) 06-24-2026 11:50 |
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GPU transfers Accelerate 4x with int8-first trick
According to @_avichawla, moving transforms to GPU cuts CPU GPU transfer 4x; binary quantization shrinks embeddings 32x for fast RAG search. (Source) 06-22-2026 12:58 |
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BM25 Beats Vector Search for Exact Matches
According to @_avichawla, BM25 still powers Elasticsearch and OpenSearch, excels at exact matches, and pairs best with vectors for hybrid RAG. (Source) 06-21-2026 11:29 |
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RAG Architectures Guide Delivers 8 Proven Workflows
According to @_avichawla, 8 RAG patterns from Naive to Agentic boost accuracy, reduce tokens 3x, and cut corpus 40x via better indexing. (Source) 06-20-2026 11:05 |
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CMU Study Reveals Cursor’s Short Lived Gains, Lasting Risks
According to @_avichawla, CMU matched 807 Cursor repos to controls: 3-5x code surge in month 1, but persistent +30% warnings and +41% complexity. (Source) 06-18-2026 08:25 |
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AI master stack 2026 Breakdown and Business Guide
According to @_avichawla, a 10-layer AI stack spans foundations to LLMOps, detailing RAG, agents, fine tuning, evals, and inference for 2026 deployment. (Source) 06-17-2026 10:22 |
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AI engineering stack 2026 Guide outlines 10 layers
According to @_avichawla, a 10-layer AI stack spans foundations, behavior, prompts, retrieval, agents, context, tuning, inference, evals, and LLMOps. (Source) 06-17-2026 09:57 |
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Flash KMeans Delivers 200x Speedup Breakthrough
According to @_avichawla on X, Flash KMeans achieves 33x over cuML and 200x over FAISS by removing GPU IO bottlenecks and enabling millisecond iterations. (Source) 06-16-2026 08:42 |
