Soro is a family of Tajik-specialized conversational LLMs built on Gemma 3, using 1.9B token Tajik continual pretraining and 40K instruction tuning examples. It substantially outperforms same-size Gemma 3 on Tajik benchmarks while retaining English performance. FP8/INT4 quantization preserves gains for edge deployment. An education pilot is underway in Tajikistan.

This paper introduces an LLM-based architecture to detect and quantify the intensity of human values in text. The architecture comprises three coordinated modules that can adapt to various value theories, and experiments on the ValueEval dataset show good detection performance.

OpenJarvis v1.0 is now available: an open-source framework for building personal AI agents that run on your own hardware, with Ollama support built-in.

Apple is showcasing new research at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026 in Denver, June 3-7. The company is sponsoring the conference and presenting work on video generation, multimodal understanding, image compression, and more.

SQLite has added an AGENTS.md file to clarify its policy on AI-generated contributions: it does not accept pull requests without prior agreement, and does not accept agentic code at all, though it welcomes bug reports with reproducible test cases. The forum has been flooded with AI-generated bugs, leading to a separate bug forum.

Recapping two days of Interrupt 2026 — LangSmith Engine, Sandboxes GA, LangChain Labs, and 23 talks from teams at LinkedIn, Rippling, Cisco, and more. Now on demand.

LangChain's April newsletter announces product updates for LangSmith including 30+ evaluator templates, cost alerting, and Fleet RBAC/ABAC. Deep Agents now supports one-command deployment. Interrupt 2026 conference agenda is released. Customer stories feature Credit Genie and Cisco achieving significant efficiency gains.

At Databricks, we’ve built a unique inference platform that serves every frontier model, from open source to proprietary, powering some of the largest agentic applications. Serving over 120T tokens per month, we tackle challenges of reliability and latency through abstractions like model units for capacity management, cost-aware load balancing and autoscaling that save over 80% GPU costs, and runtime reliability mechanisms including black-box health checks that detect silent failures. Profiling multimodal bottlenecks unlocked 3x throughput gains.

Your BI dashboards are slow, and tuning them is costing too much time and money. This post walks through Databricks' BI serving stack from physical layout to governed semantic layer, with practical guidance on improving query performance and reducing total cost of ownership.

In this post, we share how the AWS Generative AI Innovation Center (GenAIIC) collaborated with Works Human Intelligence (WHI) to build two AI agents using Amazon Bedrock AgentCore. We discuss the challenges encountered and the solutions that reduced costs by up to 97% while improving operational efficiency.

Verizon Connect built an agentic AI solution on AWS to transform overwhelming fleet data into clear, actionable insights for 100,000 users daily. The architecture uses serverless anomaly detection, Strands Agents for dynamic reasoning, and Amazon Nova Lite to cut input token costs by 70%. This post covers architectural decisions, implementation challenges, and measurable results.