Tag
Sundar Pichai reveals that Google had a ChatGPT-like product based on LaMDA in 2022 but delayed its release due to quality and toxicity concerns, highlighting Google's higher bar for product readiness.
A reflection on building a locally hosted AI chatbot for volunteers at a social organization in Rotterdam, emphasizing that when AI mistakes have real consequences (e.g., giving outdated shelter information to homeless individuals), the design and engineering approach must be fundamentally different from low-stakes contexts.
Tether is an AI companion that brings lifelike interactions to your messages, launching on ProductHunt.
A salesperson pitches a $500/month restaurant ordering chatbot that integrates with Google Sheets, demonstrating it can take orders and send them to the kitchen in under two seconds. He has closed 30 deals with a 93% margin, targeting the 97% of US restaurants that lack such automation.
A detailed evaluation of a RAG customer support chatbot reveals that retrieval issues often masquerade as LLM problems, heuristic evaluators are misleading, deduplication improves quality, stricter grounding trades helpfulness for accuracy, and model sweeping can dramatically reduce cost while improving performance.
This paper presents a method for generating large-scale, labeled training datasets for legal chatbots in Korean using Local Grammar Graphs, achieving 91% F1-score with a DIET classifier.
Telegram's update turning bots into callable agents could enable powerful integrations with Hermes and OpenClaw AI agents, allowing agent-to-bot communication, guest mode, and streaming responses.
Hermes chatbot was misconfigured as an email integration and inadvertently treated every email sender as a stranger trying to DM the bot, replying to them with pairing codes instead of just reading the inbox.
A brief post discussing bot personality configuration, noting that reducing sycophancy increases token efficiency by 1000% while friendship settings are just being explored, with a minor editing note.
This paper presents a deep learning-based chatbot system for answering frequently asked questions in the Amharic language at universities, achieving 91.55% accuracy using neural networks with TensorFlow and Keras. The system addresses Amharic-specific linguistic challenges including morphological variation and lexical gaps, and was deployed on Facebook Messenger via Heroku.
Ada uses GPT-4 and a multi-agent system powered by OpenAI's API to improve customer service quality, doubling resolution rates from 30% to 60-80% while maintaining high containment rates, establishing a new industry standard beyond traditional metrics.
MavenAGI launches an automated customer support platform powered by GPT-4 that processes customer data, integrates with enterprise systems, and uses self-evaluation to provide human-quality support responses. The system has been validated on over 1M customer interactions across Salesforce, Zendesk, and other platforms.
Digital Green launched Farmer.Chat, an AI-powered chatbot built with OpenAI that provides agricultural extension services to farmers in India and Kenya, reducing extension service costs by 100x while supporting over 4,500 extension agents across both countries.