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Model: "qwen2.5-math-prm"
small little news items
r7b llama-3-70b minicpm-o-2.6 gpt-4v qwen2.5-math-prm ollama cohere togethercompute openbmb qwen langchain openai rag tool-use-tasks quality-of-life new-engine multimodality improved-reasoning math-capabilities process-reward-models llm-reasoning mathematical-reasoning beta-release task-scheduling ambient-agents email-assistants ai-software-engineering codebase-analysis test-case-generation security-infrastructure llm-scaling-laws power-law plateauing-improvements gans-revival
Ollama enhanced its models by integrating Cohere's R7B, optimized for RAG and tool use tasks, and released Ollama v0.5.5 with quality updates and a new engine. Together AI launched the Llama 3.3 70B multimodal model with improved reasoning and math capabilities, while OpenBMB introduced the MiniCPM-o 2.6, outperforming GPT-4V on visual tasks. Insights into Process Reward Models (PRM) were shared to boost LLM reasoning, alongside Qwen2.5-Math-PRM models excelling in mathematical reasoning. LangChain released a beta for ChatGPT Tasks enabling scheduling of reminders and summaries, and introduced open-source ambient agents for email assistance. OpenAI rolled out Tasks for scheduling actions in ChatGPT for Plus, Pro, and Teams users. AI software engineering is rapidly advancing, predicted to match human capabilities within 18 months. Research on LLM scaling laws highlights power law relationships and plateauing improvements, while GANs are experiencing a revival.