Topic: training efficiency
-
DeepSeek's R1 AI Model Trained for a Fraction of Expected Cost
DeepSeek's R1 AI model was developed for only $249,000, challenging the industry norm of spending hundreds of millions and questioning the necessity of massive financial investment for AI innovation. The company also offers significantly lower operational costs, charging just $0.14 per million to...
Read More » -
S3: Train Search Agents Faster with Less Data
s3 is an open-source framework that simplifies RAG development by streamlining retriever model training and reducing data requirements, making LLM applications more efficient. The framework introduces a modular approach, separating search from generation and improving retrieval quality with...
Read More » -
Skild AI Hits $14B Valuation in Robotics Software Boom
Skild AI raised $1.4 billion in Series C funding, led by SoftBank and Nvidia, skyrocketing its valuation to over $14 billion from $4.5 billion just months earlier. The company develops general-purpose robotic foundation models that enable adaptable intelligence for various robots, aiming for syst...
Read More »