github trending 13h
FareedKhan-dev/train-llm-from-scratch — A straightforward method for training your LLM, from downloading data to generating text.
A straightforward method for training your LLM, from downloading data to generating text.
Other AI
47 items · page 1/2 yesterday 3
r/MachineLearning 16h
High E2E latency on fine-tuned Gemma 4 26B despite low TTFT [R]
Recently fine-tuned a Gemma 4 26B model, and I’m seeing surprisingly high end-to-end latency despite the effective inference footprint being much smaller (\~4B-ish behavior during
hugging face — youtube 17h
On the slow death of Scaling (birth of Adaption Labs) | Sara Hooker | HF ML Club India EP2
new from hugging face — youtube
wednesday · 20 may 6
cline releases 1d
Cline nightly-dpc-sdk-migration-simpler-login-20260520212824-44c86ecc8987
Cline Nightly published from dpc/sdk-migration-simpler-login at 44c86…
github trending 1d
can1357/oh-my-pi — ⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more
⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more - can1357/oh-my-pi
arxiv cs.CL 1d
Leveraging LLMs for Grammar Adaptation: A Study on Metamodel-Grammar Co-Evolution
In model-driven engineering, metamodel evolution leads to the need to adapt corresponding grammars to maintain consistency, which typically requires tedious manual work.
arxiv cs.AI 1d
Quality and Security Signals in AI-Generated Python Refactoring Pull Requests
As AI agents increasingly contribute to code development and maintenance, there is still limited empirical evidence on the quality and risk characteristics of their changes in real
arxiv cs.CL 1d
Post-Hoc Understanding of Metaphor Processing in Decoder-Only Language Models via Conditional Scale Entropy
Metaphor requires a language model to resolve a token whose contextual meaning diverges from its basic literal sense.
product hunt — ai 1d
Hiro
Discussion | Link
tuesday · 19 may 8
simon willison 2d
datasette-llm 0.1a8
LLM integration plugin for other plugins to depend on
hugging face 2d
OlmoEarth v1.1: A more efficient family of models
A Blog post by Ai2 on Hugging Face
arxiv cs.AI 2d
Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models
Large Vision Language Models (LVLMs) show promise in medical applications, but their inability to faithfully ground responses in visual evidence raises serious concerns about clini
arxiv cs.AI 2d
Less Back-and-Forth: A Comparative Study of Structured Prompting
Large language models (LLMs) are widely used for open-ended tasks, but underspecified prompts can lead to low-quality answers and additional interaction. This paper studies whether structured prompt design improves response quality while reducing user effort. We compare three prompt conditions: a raw prompt, a checklist-improved prompt, and a clarifying-question prompt. We evaluate these condition
arxiv cs.CL 2d
PromptRad: Knowledge-Enhanced Multi-Label Prompt-Tuning for Low-Resource Radiology Report Labeling
Automatic report labeling facilitates the identification of clinical findings from unstructured text and enables large-scale annotation for medical imaging research.
product hunt — ai 2d
Thinnest AI
Discussion | Link
product hunt — ai 2d
Agora-1 by Odyssey
Discussion | Link
hugging face 2d
Introducing the Ettin Reranker Family
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
monday · 18 may 12
arxiv cs.AI 3d
DashAttention: Differentiable and Adaptive Sparse Hierarchical Attention
Current hierarchical attention methods, such as NSA and InfLLMv2, select the top-k relevant key-value (KV) blocks based on coarse attention scores and subsequently apply fine-grained softmax attention on the selected tokens. However, the top-k operation assumes the number of relevant tokens for any query is fixed and it precludes the gradient flow between the sparse and dense stages. In this work,
github trending 3d
humanlayer/12-factor-agents — What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers? - humanlayer/12-factor-agents
github trending 3d
NVlabs/Sana — SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer - NVlabs/Sana
github trending 3d
ZhuLinsen/daily_stock_analysis — LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.
LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets. - ZhuLinsen/daily_stock_analysis
arxiv cs.AI 3d
Ensembling Tabular Foundation Models - A Diversity Ceiling And A Calibration Trap
Tabular foundation models (TFMs) now match or beat tuned gradient-boosted trees on a growing fraction of tabular tasks, but no single TFM wins on every dataset. Ensembling is the go to fix here, and it works less well than expected. Six modern TFMs form a near-redundant pool: their mean pairwise Q-statistic is $0.961$, close enough to $1$ that any convex combination is bounded above. We benchmark
arxiv cs.CL 3d
Generative AI Advertising as a Problem of Trustworthy Commercial Intervention
Major deployed generative AI advertising systems preserve a visible boundary between commercial content and AI-generated responses. Yet empirical research shows that ads woven directly into large language model (LLM) outputs often go undetected by users. We argue that generative AI fundamentally changes advertising: rather than placing products into discrete slots, it enables interventions on the
hugging face 3d
Fine-Tuning NVIDIA Cosmos Predict 2.5 with LoRA/DoRA for Robot Video Generation
A Blog post by NVIDIA on Hugging Face
hugging face 3d
PaddleOCR 3.5: Running OCR and Document Parsing Tasks with a Transformers Backend
A Blog post by PaddlePaddle on Hugging Face
hugging face 3d
The Open Agent Leaderboard
A Blog post by IBM Research on Hugging Face
product hunt — ai 3d
AnyFrame
Discussion | Link
product hunt — ai 3d
Voiser AI
Discussion | Link
cline releases 3d
cline/cline CLI v3.0.6
Fix ChatGPT provider model list to include the codex variants and the gpt-5.2, gpt-5.4, and gpt-5.4-mini subscription models. Full Changelog: cli-v3.0.5...cli-v3.0.6
sunday · 17 may 1
github trending 4d
Light-Heart-Labs/DreamServer — Local AI anywhere, for everyone — LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. No cloud, no subscriptions.
Local AI anywhere, for everyone — LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. No cloud, no subscriptions. - Light-Heart-Labs/DreamServer
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