Breaking the Token Ceiling: Distilling Smaller, Stronger Byte Models
arxiv.org
A study comparing distilled byte-level and token-level language models. It finds that byte models start behind at low compute but can reach a higher performance ceiling with more training.
Gemt
Lignende links
Models - TypeSafe AI
Reference information for TypeSafe's Jev models, their API identifiers and operating limits.
Fælles emne: Kunstig intelligens, Udvikling
Introducing System One Models & Jev - TypeSafe AI Blog
TypeSafe introduces Jev and its approach to models that produce structured decisions for software automation.
Fælles emne: Kunstig intelligens, Udvikling
Together AI announces strategic partnership with Moonshot AI to natively serve Kimi models
Together AI describes its partnership with Moonshot AI to host Kimi models and support model releases.
Fælles emne: Kunstig intelligens, Udvikling
State - TypeSafe AI
An explanation of how to structure the context supplied to TypeSafe models as text or JSON.
Fælles emne: Kunstig intelligens, Udvikling
confident-ai/deepeval
A testing framework for evaluating the behaviour and quality of applications powered by language models.
Fælles emne: Kunstig intelligens, Udvikling
EvoOntology: A Self-Evolving Ontology Layer for Data Agents
A research paper describing an ontology layer that adapts over time to support data-oriented AI agents.
Fælles emne: Kunstig intelligens, Data
Flere links fra arxiv.org
1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs
A research paper describing CPU inference techniques for BitNet b1.58 language models.
EvoOntology: A Self-Evolving Ontology Layer for Data Agents
A research paper describing an ontology layer that adapts over time to support data-oriented AI agents.
Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents
A research paper examining context-management methods for language-model agents performing long sequences of tool calls.
WorldKG: A World-Scale Geographic Knowledge Graph
Abstract page for arXiv paper 2109.10036: WorldKG: A World-Scale Geographic Knowledge Graph.
Image-to-Image Translation with Conditional Adversarial Networks
The pix2pix paper investigates learning mappings between images, with applications including colourisation and generating pictures from edge or label maps. Summary based on its abstract.
In-DRAM Bulk Bitwise Execution Engine
A research paper describing Ambit, a method for performing bulk bitwise operations inside DRAM to reduce data movement. Summary based on its abstract.