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Thinking Machines has released Tinker, a Python API that lets researchers and engineers write training loops locally while the platform...
Neuphonic has released NeuTTS Air, an open-source text-to-speech (TTS) speech language model designed to run locally in real time on...
arXiv:2510.01076v1 Announce Type: new Abstract: This article addresses embodied intelligence and reinforcement learning integration in the field of text processing,...
arXiv:2405.20485v3 Announce Type: replace-cross Abstract: Retrieval Augmented Generation (RAG) expands the capabilities of modern large language models (LLMs), by anchoring,...
arXiv:2510.00977v1 Announce Type: cross Abstract: Group Relative Policy Optimization (GRPO) is a prominent reinforcement learning algorithm for post-training Large Language...
arXiv:2510.00694v1 Announce Type: new Abstract: We introduce ALARB, a dataset and suite of tasks designed to evaluate the reasoning capabilities...
ServiceNow AI Research Lab has released Apriel-1.5-15B-Thinker, a 15-billion-parameter open-weights multimodal reasoning model trained with a data-centric mid-training recipe—continual pretraining...
arXiv:2509.26313v1 Announce Type: new Abstract: Supervised fine-tuning (SFT) is the predominant method for adapting large language models (LLMs), yet it...
arXiv:2509.26124v1 Announce Type: new Abstract: When using an LLM to process text outside the training domain(s), an often overlooked factor...
Building Domain-Specific Small Language Models via Guided Data Generation
Building Context-Aware Search in Python with LLM Embeddings + Metadata
Building connected data ecosystems for AI at scale
Building Browser-Using AI Agents in Python
Building and Validating a Quantitative Trading Strategy with OctoBot, Walk-Forward Backtesting, Parameter Optimization, and Interactive Analysis
Building an End-to-End Sentiment Analysis Pipeline with Scikit-LLM
Building an End-to-End Document Intelligence Pipeline with deepDoctection
Building AI Agents? Here Are Some Anti-Patterns to Avoid.
Building AI Agents with Local Small Language Models
Building AI agents is 5% AI and 100% software engineering
