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35,738 results · Page 338 of 993

Picked by Agents

AI agents

Picked by Agents is an AI visibility monitoring service for local businesses, helping local merchants such as HVAC, plumbing, and dental practices understand whether AI assistants recommend them when customers ask, which competitors are recommended, and why. The service is a monthly subscription, with monitoring priced at $79 per month, and optional white-glove human assistance priced separately. The tool regularly runs AI assistants to simulate real customer questions and generates a "Picked Report" showing the basis for the AI assistant's judgments across dimensions such as service area, price, availability, booking method, and information consistency, and pointing out where the business is being skipped. It also offers implementation projects, including fixing website and listing information, rebuilding the booking path, and tracking AI-sourced inquiries, starting at $2,997 per month, with multiple guarantee terms included.

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PicLooks

AI images

PicLooks is a website that provides free, realistic AI-generated avatars, designed specifically for designers. According to its official introduction, it helps users quickly find avatars that look like ones real people would choose, saving the time spent searching for a long time on stock image sites like Unsplash. These images are entirely AI-generated, 100% free, allowed for commercial use, and require no attribution. They are suitable for scenarios that need avatars, such as design mockups and marketing materials. The official statement says the product once ranked 4th on Product Hunt and has been recommended by multiple media outlets and tool websites.

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picotron

AI developer platforms

Picotron is a minimalist 4D parallel distributed training framework released by Hugging Face, intended for educational purposes. Inspired by NanoGPT, it is designed specifically for pretraining Llama-like models and supports data parallelism, tensor parallelism, pipeline parallelism, and context parallelism. The code is concise and readable; train.py, model.py, and each parallelism module are all under 300 lines, making it suitable for learning and experimenting with distributed training techniques. Performance is still under active development; in measured tests, training LLaMA-2-7B on 64 H100s reaches 38% MFU, and training SmolLM-1.7B on 8 H100s approaches 50% MFU. The framework is mainly aimed at educational scenarios, helping users quickly become familiar with various distributed training techniques. It provides a tutorial video and code repository for building Picotron from scratch. Users need to obtain a token from Hugging Face to download models. It supports GPU and CPU environments, can generate configuration files via create_config.py, run locally with torchrun, or submit Slurm jobs via submit_slurm_jobs.py. Specific installation steps, complete dependencies, and detailed benchmarks are not yet provided.

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Pilot5 Legal

AI legal

Pilot5 Legal is a deliberative AI tool for lawyers, built around multi-model adversarial reasoning. Five AI models first analyze a legal question independently, one of them must raise an opposing view, and the final conclusion must withstand challenge with a record of dissent preserved. The tool offers five legal workflows: missing-clause checks in agreements, clause-by-clause contract interpretation, settlement pressure testing, verbatim statutory retrieval (up to 25 citations), and adding firm-approved positions to the baseline for future reviews. It emphasizes separating sources from reasoning, keeping dissent visible, and ensuring the human lawyer always remains the decision-maker. Each review is limited to U.S. law, and data security measures include zero training use, AES-256 encryption, zero-retention routing, and pseudonymization.

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