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This post demonstrates how to train and finetune multimodal embedding and reranker models using Sentence Transformers on custom domain data.
This article explores how code agents can assist in porting language models from the transformers library to MLX while maintaining high code quality standards.
GitLab Duo Agent Platform's Agentic SAST Vulnerability Resolution automatically generates ready-to-merge code fixes for security vulnerabilities, eliminating manual remediation bottlenecks.
OpenAI launches Trusted Access for Cyber initiative to strengthen global cybersecurity defense through partnerships and financial support.
GitLab 18.11 introduces AI agents and enhanced security features.
A Spring podcast episode featuring an interview with Craig Walls, legendary author of Spring In Action and Spring AI in Action.
GitLab 18.11 introduces budget controls and usage guardrails for GitLab Credits to help organizations manage AI spending predictably and control access to GitLab Duo Agent Platform.
The paper extends RLVE framework to multi-turn e-commerce conversations, presenting EcomRLVE-GYM for training shopping agents with algorithmically verifiable rewards.
Rust 1.95.0 releases with new language features and API stabilizations.
MaxText introduces Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) capabilities now available on single-host TPU configurations for post-training large language models.
GitLab introduces two foundational AI agents to address gaps in the development lifecycle created by faster code generation.
The article introduces the Model Context Protocol (MCP) and the Figma MCP server, showing how AI tools can access design context to generate production-ready code that aligns with design systems.
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