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๐Ÿง  LLM Inference

Quantization, Attention Mechanisms, Batch Processing, KV Caching

MedGemma: Our most capable open models for health AI development
research.googleยท6h
๐Ÿ†LLM Benchmarking
Fenic: A Cute, PySpark-Inspired DataFrame Framework for AI Workflows
typedef.aiยท22hยท
Discuss: Hacker News
โšกDataFusion
A language model built for the public good
ethz.chยท18hยท
Discuss: Hacker News, Hacker News
๐Ÿ†LLM Benchmarking
A posteriori analysis of neural network approximations
arxiv.orgยท19h
๐Ÿ”AI Interpretability
Self-Review Framework for Enhancing Instruction Following Capability of LLM
arxiv.orgยท19h
๐Ÿช„Prompt Engineering
How to tap into natural language AI services using the Conversational Analytics API
cloud.google.comยท5h
๐Ÿง Inference Serving
Towards Exception Safety Code Generation with Intermediate Representation Agents Framework
arxiv.orgยท19h
๐Ÿช„Prompt Engineering
Evaluation of Habitat Robotics using Large Language Models
arxiv.orgยท19h
๐Ÿ†LLM Benchmarking
StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation
arxiv.orgยท19h
๐ŸŒŠAsync Patterns
A Directed Lazy Random Walk Model to Three-Way Dynamic Matching Problem
arxiv.orgยท19h
๐ŸคDistributed Consensus
On Lockean beliefs that are deductively closed and minimal change
arxiv.orgยท19h
๐ŸงฉTypes
USIGAN: Unbalanced Self-Information Feature Transport for Weakly Paired Image IHC Virtual Staining
arxiv.orgยท19h
0Binary Vector Embeddings
Narrowing the Gap: Supervised Fine-Tuning of Open-Source LLMs as a Viable Alternative to Proprietary Models for Pedagogical Tools
arxiv.orgยท19h
๐Ÿ•ฏ๏ธCandle
Why LLM Authorization is Hard
osohq.comยท23hยท
Discuss: Hacker News
๐Ÿ•ณLLM Vulnerabilities
ModelCitizens:Representing Community Voices in Online Safety
arxiv.orgยท19h
๐Ÿ›ก๏ธContent Moderation
Deep Learning of Continuous and Structured Policies for Aggregated Heterogeneous Treatment Effects
arxiv.orgยท19h
๐Ÿ“ŠEmbeddings
PrefixAgent: An LLM-Powered Design Framework for Efficient Prefix Adder Optimization
arxiv.orgยท19h
๐ŸงฎSMT Solvers
A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models
arxiv.orgยท19h
๐Ÿ”„LLM RAG Pipelines
RabakBench: Scaling Human Annotations to Construct Localized Multilingual Safety Benchmarks for Low-Resource Languages
arxiv.orgยท19h
๐Ÿ›ก๏ธAI Safety
Domain adaptation of large language models for geotechnical applications
arxiv.orgยท19h
๐Ÿ†LLM Benchmarking
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