AI & RoboticsNews

DeepMind discovers that AI large language models can optimize their own prompts

When people program new deep learning AI models — those that can focus on the right features of data by themselves — the vast majority rely on optimization algorithms, or optimizers, to ensure the models have a high enough rate of accuracy. But one of the most commonly used optimizers — derivative-based optimizers— run into trouble handling real-world applications. In a new paper…
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AI & RoboticsNews

Series AI raises $7.9M in funding for game-building tools

Series AI announced today that it has raised $7.9 million in its seed funding round, which it plans to put towards a “suite of AI-powered game authoring tools.” The company is working on these tools as a way to help decrease the amount of time spent on menial tasks in…
AI & RoboticsNews

Anthropic and BCG form new alliance to deliver enterprise AI to clients

AI unicorn startup Anthropic, known for taking on OpenAI’s ChatGPT with its Claude 2 large language model (LLM) assistant, is moving to take its offerings to more enterprises.  Today, the Dario Amodei-led company announced it has partnered with Boston Consulting Group (BCG) to provide its clients with “direct access” to Claude 2 and Anthropic’s AI tech. The engagement will see BCG…
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AI & RoboticsNews

Here are the six AI nonprofits Salesforce is backing

Salesforce is going all in on AI – not just for its customers but also to solve some of the world’s biggest problems. The Marc Benioff-led CRM major announced that it will invest $2 million across six nonprofits looking to tap generative AI technologies for social impact solutions. The funding will be provided as part of the company’s “AI for Impact” accelerator and will paired with…
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AI & RoboticsNews

Meet Phi-1.5, the new language model that could make training AI radically cheaper and faster 

Training AI large language models (LLMs) like those currently making waves in the enterprise software market — ChatGPT, LLaMA 2, Claude 2, Bard, Falcon 180B, etc. — typically requires extensive and specialized compute power. Little wonder, then, that it has been relegated to larger, well-funded organizations like OpenAI, Meta, Cohere, Google, Technology Innovation Institute in Abu Dhabi…
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