Modal is a serverless cloud infrastructure platform built by Modal Labs Inc. It lets developers run Python code in the cloud without managing servers, Dockerfiles, or Kubernetes clusters. It is aimed at data engineering, generative AI, and machine learning teams that need to run compute-heavy workloads without operating their own infrastructure. Deploying models or running […]
fine-tuning
5 tools selected.
Rogo is an enterprise AI platform built for investment banks, private equity firms, and public and private market investors. It runs on custom-trained large language models developed specifically for finance, using professionally labeled data rather than general-purpose training sets. The platform is aimed at firms that need to turn raw market data and internal documents […]
Weights and Biases is an AI developer platform for building, managing, evaluating, and monitoring AI models, AI agents, and generative AI applications. The platform functions as a system of record for machine learning workflows. It covers traditional ML experiment tracking, hyperparameter optimization, and dataset versioning, alongside features built for large language models and agentic applications. […]
Harvey is a generative AI platform built specifically for legal professionals. It uses large language models fine-tuned for legal tasks across litigation, transactional law, and corporate compliance. The platform addresses the operational burden of document-heavy legal work by automating the initial layers of synthesis and extraction. Users interact with Harvey through a natural language interface. […]
Defog.ai is an enterprise text-to-SQL platform that converts plain English questions into optimized database queries. It connects to Postgres, Snowflake, SQL Server, and MySQL. Non-technical users can retrieve structured data without writing SQL or waiting for analyst support. The platform is powered by SQLCoder, Defog’s fine-tuned open-source model. SQLCoder has surpassed 2.2 million total downloads […]