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How Artificial Intelligence Can Help Us Connect with Customers
In software development, success means going beyond meeting requirements. We must create products that surprise and delight users and are innovative, create impactful solutions, Ken Hughes said in the keynote “Connection is Everything”. AI can help us connect with customers and create better user experiences. By Ben Linders
Presentation: Ecologies and Economics of Language AI in Practice
Jade Abbott discusses the shift from massive, resource-heavy models to "Little LMs" that prioritize efficiency and cultural sustainability. She explains how techniques like LoRA, quantization, and GRPO allow for high performance with less compute. By sharing the "Ubuntu Punk" philosophy, she shares how to move beyond extractive data practices toward human-centric, sustainable AI systems. By Jade Abbott
IBM Research Introduces CUGA, an Open-Source Configurable Agent Framework on Hugging Face
IBM Research has released CUGA (Configurable Generalist Agent) on Hugging Face Spaces, making its enterprise-oriented agent framework easier to evaluate with open models and real workflows. The move positions CUGA as a practical alternative to brittle, tightly coupled agent frameworks that often struggle with tool misuse, long-horizon reasoning, and recovery from failure. By Robert Krzaczyński
Presentation: Lessons Learned From Shipping AI-Powered Healthcare Products
Clara Matos discusses the journey of shipping AI-powered healthcare products at Sword Health. She explains how to implement input/output guardrails for regulated industries and shares a framework for robust evaluations using human and LLM-based ratings. From prompt engineering to RAG and user feedback loops, she shares a data-driven roadmap for building reliable AI care agents at scale. By Clara Matos
Article: NextGen Search - Where AI Meets OpenSearch Through MCP
In this article, authors Srikanth Daggumalli and Arun Lakshmanan discuss next-generation context-aware conversational search using OpenSearch and AI agents powered by Large Language Models (LLMs) and Model Context Protocol (MCP). By Srikanth Daggumalli, Arun Lakshmanan
Transformers v5 Introduces a More Modular and Interoperable Core
Hugging Face has released the first candidate for Transformers v5, marking a significant evolution from v4 five years ago. The library has grown from a specialized model toolkit to a critical resource in AI development, achieving over three million installations daily and more than 1.2 billion total installs. By Robert Krzaczyński
Podcast: Building a More Appealing CLI for Agentic LLMs Based on Learnings from the Textual Framework
Will McGugan, the maker of Textual and Rich frameworks, speaks about the reasoning of developing the two two libraries and the lesson learned. Also, he shares light on Toad, his current project, which he envisions being a more visually appealing way of interacting with agentic LLMs through command line. By Will McGugan
Top posts from tech subreddits• Updated 2 minutes ago
We loaded 4,027 tools into Anthropic’s new Tool Search. It got ~60% right. Here’s the full breakdown.
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khoj
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
awesome-chatgpt-prompts
Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
FunASR
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
llama_index
LlamaIndex is the leading framework for building LLM-powered agents over your data.
presidio
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.