Dmitry Noranovich @javaeeeee1
Machine Learning Engineer. I learn by teaching. Opinions are my own. Building https://t.co/LDTxX1BwWC medium.com/@javaeeeee Toronto, Ontario Joined October 2014-
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Beyond LoRA: Can you beat the most popular fine-tuning technique? share.google/9C9BrDwpmYq3mP…
Ray (@raydistributed) Serve LLM and @vllm_project enable high performance distributed inference at scale. Awesome to see Foundation-hosted projects working together to advance the open source AI stack. Learn more: anyscale.com/blog/high-perf…
Ray Serve LLM now offers 4.4x higher request throughput on prefill-heavy workloads, and 24.8x higher request throughput on decode-heavy workloads! 🚀Three major optimizations: - Direct streaming, bypassing an intermediate Ray Serve deployment on the response path with a new,
New course: Add voice to your AI agents and applications, built with @VocalBridge (disclosure: an AI Fund portfolio company) and taught by its CEO @_ashwyn. Voice applications historically required making a hard tradeoff: using fast voice-to-voice models that sacrifice reliability, or accurate speech-to-text pipelines that add latency. This course teaches you how to build voice agents that are both reliable and fast. You'll build three types of voice-enabled applications: a voice-interactive game where voice commands and mouse clicks work together over a single channel, an agent that gains a voice in about 10 lines of code without touching its prompts or tools, and an agent that places outbound phone calls using a make_phone_call function. Skills you'll gain: - Add a voice layer to an existing agent without rewriting your prompts, RAG pipeline, or tools - Give an agent the ability to place outbound calls and stream transcripts back live - Set up voice evaluation to score calls, catch regressions, and improve quality before deployment Join and add voice to your agents without overhauling your architecture: deeplearning.ai/courses/voice-…
MeshPilot: Your AI workspace for terminals, tasks, and agents by @jeneshhhhh producthunt.com/products/meshp…
frontpage.sh: A perpetual auction for eight ad squares by @dfect producthunt.com/products/front…
Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance huggingface.co/papers/2606.19…
GLM-5.2 can now be run locally!🔥 The 2-bit model retains ~82% accuracy after we shrunk it from 1.51TB to 238GB (-84% size). Run on a 256GB Mac or RAM/VRAM setups. GLM-5.2 is the strongest open model to date. Guide: unsloth.ai/docs/models/gl… GGUF: huggingface.co/unsloth/GLM-5.…
Introducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long-horizon capabilities with a 1M context window - Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong
Show Codex a workflow once. Reuse it as a skill. Record & Replay lets you show Codex a recurring task, like filing an expense report or submitting a time-off request. Codex turns that demo into an inspectable, editable skill. You control when recording starts and stops.
New in Claude Code: Artifacts. Interactive pages built from your session, like a PR walkthrough or a living project dashboard, shared with your team at a private link. Available in beta on Team and Enterprise plans.
The Anatomy of a Chrome Extension: A Developer's Guide open.spotify.com/episode/3chTIR…
Just caught up with the recent GLM-5.2 release. The best open-weight model today. Architecture-wise, it's build on the GLM-5 and GLM-5.1 architecture that I covered previously, which means it's reusing the Multi-head Latent Attention (MLA) and DeepSeek Sparse Attention (DSA) mechanisms from DeepSeek V3.2. (I wrote about it here: magazine.sebastianraschka.com/p/technical-de…) What's new is that they added an IndexShare mechanism. (That's a cross-layer reuse trick for DSA where instead of recomputing the sparse-attention top-k indexer in every layer, GLM-5.2 runs the full indexer only once every four layers and lets the following layers reuse those selected token indices. This keeps the same DSA idea but makes 1M-token inference much cheaper.)
Juno: Free, local AI powered Voice to Text w/ live transcriptions by @CassiniRes and @DecisionTree_gg producthunt.com/products/juno-…
Merlin by Encord: Manage your AI data infrastructure in a single conversation by @EncordEric producthunt.com/products/merli…
LayerProof: Agentic reports your clients want to read by @BryanCao122003, @nate6879SF, and @CreativewJordyn producthunt.com/products/layer…
Buddy: Free Figma agent + Import anything to Figma by @avishic producthunt.com/products/buddy…
Locofy.ai: Build frontend 10x faster with design-to-code AI by @HoneyMittal07, @MS0HA1B, and @raybagatz producthunt.com/products/locof…
Upstream: The inbox designed for humans and agents by @louislecat, @sywesk, @webkonstantin, and more producthunt.com/products/upstr…
Genie Mentions: AI that gets you *and* the people in your life, together by @SirKneeland producthunt.com/products/genie…
Adding voice to an existing AI agent used to mean rewriting a lot of code. In our new short course, Voice for AI Agents and Applications, built in partnership with @VocalBridge and taught by CEO @_ashwyn, you'll learn to layer voice onto an existing agent using minimal code without touching your prompts, RAG pipeline, or tools. You'll implement three integration patterns: voice embedded in an app, voice layered onto an existing agent, and voice as a callable tool your agent uses to place outbound phone calls. Enroll for free: bit.ly/4eybXIK
Habibi Code @habibicode
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Jack Timonen @Jack_Timonen
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Olli-Pekka Heinisuo @skvark
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Tony D @0xavd1
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featdrop @featdrop_team
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Pete Caputa IV (PC4) @pc4media
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TMC @coml_aaron
40 Followers 274 Following Stop trading manually. 🛑 Indie Hacker building a Quant SaaS. 📉 正在公开开发一款中低频量化系统。 记录从代码到实盘的每一步。 👉🏻 见证我的开发进度 (https://t.co/TFpeh4pD1q)
insiderLLM @InsiderLlm
15 Followers 578 Following Budget-focused local AI for the rest of us. Guides, hardware, models. No cloud required. https://t.co/XoAhhzN9Ak
Vlad Temian @vtemian
950 Followers 2K Following building devtools for everyone https://t.co/HDZmtcjLlY
Gaurav @gaurav_ships
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Jiqiren.AI @jiqirenai
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Karan Jagtiani @karanjagtiani04
903 Followers 1K Following Building @skyflo_ai | Self-hosted AI Agent for Kubernetes & CI/CD (approval-gated ops) Cloud Architect running $10M ARR infra
Daniele Packard @daniele_packard
307 Followers 584 Following Building https://t.co/pB2zEBLv9Z to bridge cultures | alum @ycombinator (YC S21) @INSEAD
fune @Fune798662Fune
21 Followers 365 Following
Hsiang (Alex Xiang) @sootao
1K Followers 2K Following Maker • Dream Builder • Coder • Product enthusiast • Idealist • AI explorer 🚀 | Founder of @dessix_io | EN/CN | looking for cofounder(s)
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336 Followers 514 Following ceo @Aident_AI, building bridges for thinking machines to work with thinking beings
Nina Manhattan @ManhattanN49750
5 Followers 122 Following My real name's Nina. I'm 32 years old single
冯夏影 @fengxiaying
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Zhaochong An @ZhaochongAn
135 Followers 145 Following PhD student at University of Copenhagen Member of @belongielab, ELLIS @ELLISforEurope, and Pioneer Centre for AI @AiCentreDK MSc CS at ETH Zurich
SashiDo.io @sashidoio
1K Followers 5K Following Build & host 🌐 AI-Ready apps with @ParsePlatform @MongoDB & @NodeJS. Launch Fast with Pre-Built APIs Less code, more fun! Join the 🎉 https://t.co/vuy9jYh4tS
Google Gemma @googlegemma
87K Followers 0 Following The official home of Google's Gemma. Lightweight, state-of-the-art open models by Google DeepMind, built on Gemini tech. What will you build? 🚀💻
MIT Intro to Deep Lea... @MITDeepLearning
24K Followers 45 Following MIT's introductory course on deep learning!
Hugging Models @HuggingModels
52K Followers 29 Following We're sharing/showcasing best of @huggingface models. Follow to stay in loop. Promoting Open-Source models.
Mistral AI for Develo... @MistralDevs
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Thariq @trq212
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676K Followers 981 Following I drop startup ideas daily. Host @startupideaspod. CEO: @latecheckoutplz we build companies like @ideabrowser, @meetLCA, @boringmarketer etc
Gaurav @gaurav_ships
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Mistral Vibe @mistralvibe
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MiniMax (official) @MiniMax_AI
102K Followers 853 Following Agent: @MiniMaxAgent Token Plan: https://t.co/BDCycxepZw API: https://t.co/fHRdSV7BwZ Community: https://t.co/uhxxfLgkLU
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184K Followers 16K Following Dad, Dev, CEO, 4x Founder. Building @HelloUntangle
LTX @ltx_model
14K Followers 256 Following This account is no longer active. Please follow @ltx_io for the latest updates.
Hsiang (Alex Xiang) @sootao
1K Followers 2K Following Maker • Dream Builder • Coder • Product enthusiast • Idealist • AI explorer 🚀 | Founder of @dessix_io | EN/CN | looking for cofounder(s)
Kimi Lu @ljhskyso
336 Followers 514 Following ceo @Aident_AI, building bridges for thinking machines to work with thinking beings
Stitch by Google @stitchbygoogle
161K Followers 6 Following Stitch by @GoogleLabs turns your ideas into beautiful interface designs, powered by some of the latest Gemini models. Try free of charge.
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52K Followers 12 Following An open-source AI agent that brings the power of Gemini directly into your terminal.
Sahil Jagtap @twtofsahil
819 Followers 197 Following 3x founder | dilly-dallying @agentbudgetsdk | built @airstitch (acquired) | @fdotinc
Nano Banana 2 @NanoBanana
162K Followers 3 Following Nano Banana 2 🍌🍌 the world's most powerful image editing and generation model! Try in the @GeminiApp
Google Antigravity @antigravity
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Arjun Manocha @arjun_mano57518
5 Followers 26 Following Learning, building & breaking things with AI. Love experimenting. Sharing my journey, wins & fails here.
N. Taylor Mullen @ntaylormullen
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Sora @soraofficialapp
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NVIDIA Newsroom @nvidianewsroom
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elie @eliebakouch
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kipply @kipperrii
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CopilotKit🪁 @CopilotKit
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NVIDIA AI Infrastruct... @NVIDIAAIInfra
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Jenova.ai @JenovaAIAgent
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elvis @omarsar0
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Google AI Studio @GoogleAIStudio
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NYC Data Science Acad... @NYCDataSci
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Hashnode @hashnode
90K Followers 419 Following The tech community's favorite blogging platform. Always optimized for search and AI engines, so you focus on writing while we handle the indexing. ✍️ 🧘
DailyPapers @HuggingPapers
19K Followers 4 Following Tweeting interesting papers submitted at https://t.co/rXX8x0HzXV. Submit your own at https://t.co/QhbJKXBd4Q, and link models/datasets/demos to it!
vLLM @vllm_project
42K Followers 36 Following A high-throughput and memory-efficient inference and serving engine for LLMs. Join https://t.co/lxJ0SfX5pJ to discuss together with the community!You might like
