AI for Accountants: How to Finally Survive Tax Season Without Burning Out Discover how AI is transforming tax season for accountants in 2026. Learn which tools cut prep time by 40%, reduce errors to under 2%, and help CPAs shift from compliance to advisory work.

Discover how AI is transforming tax season for accountants in 2026. Learn which tools cut prep time by 40%, reduce errors to under 2%, and help CPAs shift from compliance to advisory work.

#AI #Meta #xAI #HuggingFace #Automation #Coding #HumAI

How to Run GPT on a $4 Microcontroller: A TinyML Guide for Makers A practical guide to running GPT-like models on ultra-low-cost microcontrollers using TinyML — complete with code, hardware list, and optimization tips.

A practical guide to running GPT-like models on ultra-low-cost microcontrollers using TinyML — complete with code, hardware list, and optimization tips.

#AI #GPT #GitHub #HuggingFace #MachineLearning #DeepLearning #HumAI

Gemma 4: Open AI Models for Local Reasoning Gemma 4's four sizes (E2B to 31B) deliver advanced reasoning and agentic workflows under Apache 2.0. The 31B model ranks #3 among open models on Arena AI. Edge models run offline on Android with nativ...

📍Gemma 4 Open Models Outperform 20x-Larger Rivals on Local Hardware.

Gemma 4's four sizes (E2B to 31B) deliver advanced reasoning and agentic workflows under Apache 2.0. The 31B model ranks #3 among open models on Arena AI.

#Gemma4 #LLM #AI #Gemini #Ollama #HuggingFace

factide.com/gemma-4-open...

Transformers.js v4 Ships WebGPU Runtime for Browser ML HuggingFace's Transformers.js v4 rewrites its WebGPU runtime in C++, supports 200+ architectures, and delivers up to 4x faster inference in browsers and server-side JS runtimes.

Transformers.js v4 Ships WebGPU Runtime for Browser ML

awesomeagents.ai/news/transformers-js-v4-...

#Huggingface #TransformersJs #Webgpu

Transformers.js v4 Ships WebGPU Runtime for Browser ML HuggingFace's Transformers.js v4 rewrites its WebGPU runtime in C++, supports 200+ architectures, and delivers up to 4x faster inference in browsers and server-side JS runtimes.

Transformers.js v4 Ships WebGPU Runtime for Browser ML

awesomeagents.ai/news/transformers-js-v4-...

#Huggingface #TransformersJs #Webgpu

Cohere's Open-Source Transcribe Model Tops ASR Leaderboard Cohere has released Transcribe, a 2-billion-parameter open-source speech recognition model that tops the Hugging Face Open ASR leaderboard across 14 languages.

winbuzzer.com/2026/03/27/c...

Cohere's Open-Source Transcribe Model Tops ASR Leaderboard

#AI #Cohere #CohereTranscribe #SpeechRecognition #AITranscription #OpenSourceAI #HuggingFace #MultimodalAI

Just built a Smolagent with Qwen2.5‑Coder‑32B-Instruct using a Hugging Face token—tiny but mighty code‑gen AI. Want to spin up your own CodeAgent and hook up tools? Dive in! #Smolagent #Qwen2_5Coder #HuggingFace

🔗 aidailypost.com/news/build-s...

I Wired 800,000 Living Neurons Into an LLM. Here's What Actually Happened. BioLLM is a SmolLM2-360M distilled from co-training on live human neurons via Cortical Labs' CL1 biocomputer. The neurons modulate token selection through real-time spike responses, and the distillation filters for moments of genuine neural integration. It's not conscious — the creator's own consciousness framework says so — but the data shows biological substrates exhibit self-organizing network topology and measurable integration growth that no software RNG can replicate. The token wasn't his idea. The model is free on Hugging Face. The autonomous agent is still running experiments.

I Wired 800,000 Living Neurons Into an LLM. Here's What Actually Happened.

BioLLM is a SmolLM2-360M distilled from co-training on live human neurons via Cortical Labs' CL1 biocomputer. The neurons modulate token selection through real-time spike responses, and the dis…
#hackernews #huggingface #llm

#kubecon #cloudnativecon | Andrey Velichkevich Kubeflow Trainer v2.2 is here 🚀 This release marks a major milestone for Cloud Native AI – expanding framework support, improving observability, and pushing deeper into HPC workloads. 📊 Training Pro...

Kubeflow Trainer v2.2 is here – a huge milestone towards Cloud Native AI workloads 🚀

Support for JAX and XGBoost, built-in callbacks via #HuggingFace Transformers, and Flux integration for HPC + MPI. For a deeper dive, stop by the Kubeflow booth at #KubeCon + #CloudNativeCon EU!

t.co/1IYq6rcdUz

Open Art Dataset: Why an Artist’s 50‑Year Catalog Matters A painter in the MoMA and Met collections just turned fifty years of their work into an open art dataset on Hugging Face, about 3-4k catalogued pieces from the 1970s to 2025, with rich metadata, under a CC BY‑NC‑4.0 license. Look, this is not “here’s some images for your Stable Diffusion finetune.” This is an artist turning their life’s work into a…

A MoMA/Met artist turned 50 years of work into an open, provenance-rich dataset (3–4k pieces) on Hugging Face — not a dump, a syllabus for machines. #HuggingFace #AIArt #GenerativeAI

hugging face of robotics, lol.

#robotics #ai #tech #huggingface

大量の社内ドキュメント検索が爆速に！専門特化型AI検索を1日で構築するテンプレ 「うちの会社の専門用語、汎用AIじゃ全然理解してくれない…」「あの資料、どこにあったっけ？」そんな悩みを抱えていませんか？本テンプレートは、あなたの会社の膨大な社内ドキュメントやデータに特化した独自の埋め込みモデルを構築し、まるで人間が理解しているかのような高精度な検索を可能にします。手動での情報収集や分類に費やしていた時間を劇的に削減し、必要な情報に瞬時にアクセスできるようになります。

専門分野の文書検索、汎用AIだと精度イマイチで困ってたんだよね。Hugging FaceとローカルLLM使って、自社データでドメイン特化型埋め込みモデル作るスクリプト書いてる。データ前処理で沼って3時間溶けたけど、これで社内検索が爆速になるはず🔥 #自動化 #業務効率化 #LLM #HuggingFace

📝 詳細はこちら👇
https://note.com/n/n201c4bfded5c

The official Hugging Face skills repository that gives AI coding agents like Claude Code, Codex, and Cursor instant access to the entire ML ecosystem - from dataset creation to model training.

https://github.com/huggingface/skills

#HuggingFace #AI-agents #MLOps

𝗨𝗻𝗹𝗼𝗰𝗸 𝘁𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗙𝗿𝗲𝗲 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀 𝘄𝗶𝘁𝗵 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲!

Discover how to quickly and effectively switch to Hugging Face models for your language translation needs!

#flowise #ai #nocode #HuggingFace #OpenSourceAI

The entire stack is #opensource: dots.ocr model from #HuggingFace, vLLM for inference, #FastAPI proxy with parallel rendering + streaming. Total model size ~12GB, runs comfortably on any 24GB+ GPU.

deepseek-ai/DeepSeek-R1-Distill-Qwen-7B · Hugging Face We’re on a journey to advance and democratize artificial intelligence through open source and open science.

実は DeepSeek-R1 が OpenAI-o1 に匹敵する🚀

RL だけで訓練（SFT 不要）
7B/14B/32B の軽量モデルもオープンソース

Qwen2.5-Math 7B ベースで 128K コンテキスト
数学・コード・推論タスクで o1 と同等性能

ローカルで動かすならこれだ💡
「試してみたい？」

#AI #LocalLLM #DeepSeek #HuggingFace #OpenSource

huggingface.co/deepseek-ai/DeepSeek-R1-...

ローカルAI開発の未来が変わる！GGMLとllama.cppがHugging Faceに合流した衝撃💥 ローカルLLM実行のデファクトスタンダードであるGGMLとllama.cppがHugging Faceに合流しました。これは、個人開発者や研究者が手元のPCで高性能AIモデルをより簡単に、かつ持続的に利用できるようになることを意味します。エコシステムの統合により、ローカルAIの進化がさらに加速し、より多くのイノベーションが生まれるでしょう。

ローカルLLMの救世主、GGMLとllama.cppがHugging Faceに合流！💥 これで個人PCでのAIモデル実行がさらに安定・加速するぞ。自分のRTX 4070が火を噴く予感🔥 #ローカルAI #GGML #llamaccp #HuggingFace

📚 NVIDIA RTX 4070 グラフィ www.amazon.co.jp/s

画像生成AIモデル、なんと24時間で学習完了！Hugging Faceが驚異の速さ公開 🔥 Hugging Faceが、テキストから画像を生成するAIモデルをわずか24時間で学習させる方法を公開しました！これは、これまで数日〜数週間かかっていた学習時間を劇的に短縮する快挙。PRXという手法によるもので、画像生成AIの民主化に大きく貢献しそうです。

画像生成AIモデル、24時間で学習完了！🚀
Hugging Faceが驚異の速さを実現したPRX手法を公開。これまで数日〜数週間かかっていた学習時間を劇的に短縮！誰でも手軽に画像生成AIを扱える時代が来るかも？✨
#AI #画像生成AI #HuggingFace #機械学習

📚 画像生成AI入門 www.amazon.co.jp/s

Hugging Face Hubに「Storage Buckets」爆誕！💡 ML開発者の夢が加速する新機能 機械学習コミュニティのハブであるHugging Face Hubに、待望の「Storage Buckets」機能が追加されました。これにより、モデルやデータセットだけでなく、関連する大規模ファイルやアセットを直接Hub上で管理できるようになり、MLプロジェクトの開発と共有がさらに効率化されます。

Hugging Face Hubに超便利機能「Storage Buckets」が登場！🚀 これで大規模なデータやモデルアセットも直接Hubで管理できるように！ML開発者のワークフローが爆速化すること間違いなしだ。これは見逃せないアップデートだよ！⚡️ #HuggingFace #MLOps #AI開発 #OSS #機械学習

📚 Hugging Faceで学ぶNLP www.amazon.co.jp/s

Monlam Melong: developed by exile #Tibetans in Dharamsala, is on #HuggingFace. Supports machine translation, text generation, Q&A in #Tibetan.

#DeepZang inherits DeepSeek's architecture and its CAC-mandated content restrictions.

Different tech stacks. Different constraints.

The "world's first" claim is false.

Timeline:

Nov 2024: Monlam Melong (exile, Dharamsala) — open source, on #HuggingFace

Nov 2025: 阳光清言 (Tibet University / Zhipu AI) — 100B params

Mar 2026: #DeepZang

Hugging Face Transformers Overview Machine Learning & Neural Networks Blog

Hugging Face Transformers is a leading open-source library designed to simplify the use and development of transformer-based models, which have become foundational in natural language processing (NLP)[..]

#huggingface #machine #learning #NLP

www.ml-nn.eu/a1/75.html

FronkonGames/steam-games-dataset · Datasets at Hugging Face We’re on a journey to advance and democratize artificial intelligence through open source and open science.

More than 110,000 games published on Steam, with all their details

#gamedevelopment #indiedev #huggingface #gamedev #steam

Want to run speech‑AI locally? I walk through generating a Hugging Face read token and exporting it for PersonaPlex, NVIDIA‑powered speech‑to‑speech. Grab the steps and start experimenting! #HuggingFace #SpeechAI #PersonaPlex

🔗 aidailypost.com/news/how-cre...

16 Open-Source RL Libraries, One Shared GPU Bottleneck A Hugging Face survey of 16 open-source reinforcement learning libraries finds the entire ecosystem has converged on async disaggregated training to fix a single brutal bottleneck: GPU idle time during long rollouts.

16 Open-Source RL Libraries, One Shared GPU Bottleneck

awesomeagents.ai/news/huggingface-async-r...

#HuggingFace #ReinforcementLearning #OpenSource

Hugging Face Launches Storage Buckets for ML Artifacts Hugging Face introduced Storage Buckets, mutable S3-like object storage built on Xet deduplication for ML checkpoints, logs, and artifacts - starting at $8/TB/month at volume.

Hugging Face Launches Storage Buckets for ML Artifacts

awesomeagents.ai/news/huggingface-storage...

#HuggingFace #DeveloperTools #Infrastructure

Introducing LLM Ops Kit LLM-Ops-Kit is a new operational toolkit for running, debugging, and maintaining self-hosted AI stacks across hosts.

LLM-Ops-Kit

It is an operational toolkit for the messy but important part of self-hosted AI: brings privacy and security.

Local TTS and voice cloning, can replace premium hosted speech.

Streamlined Jinja ChatML template with tool calling.

#ai #llm #mlx #opensource #devtools #HuggingFace

Snowflake's Arctic Long Sequence Training: How to Train LLMs on 15 Million Tokens Without Selling a Kidney Snowflake AI Research just open-sourced Arctic Long Sequence Training (ALST), a framework that pushes LLM training from a measly 32K tokens to over 15 million — a 469x improvement — using standard Hug...

Snowflake's Arctic Long Sequence Training: How to Train LLMs on 15 Million Tokens Without Selling a Kidney

techlife.blog/posts/snowfl...

#ALST #Snowflake #LongContextTraining #DeepSpeed #HuggingFace #SequenceParallelism #LLMTraining #H100 #Llama8B #Qwen3 #GPUMemoryOptimization

LLMs are not the only transformer-based models that you can explore in repos like HuggingFace. #ai #mlmodels #huggingface #modelecosystem

This is OSCAR! The Omnidirectional Sensory Connected Autonomous Robot. Visiting the #tessl office this evening for the #HuggingFace meetup!
A very cute robot platform.