Earlier this year, Sakana AI started leveraging evolutionary algorithms to develop better ways to train foundation models like LLMs. In a recent paper, we have also used LLMs to act as better evolutionary algorithms!
Given these surprising results, we began to ask ourselves: Can we also use LLMs to come up with a much better algorithm to train LLMs themselves? We playfully term this self-referential improvement process LLM² (‘LLM-squared’) as an homage to previous fundamental work in meta-learning.
As a significant step towards this goal, we’re excited to release our report, Discovering Preference Optimization Algorithms with and for Large Language Models. — Read More
Daily Archives: June 14, 2024
Kling, the AI video generator rival to Sora that’s wowing creators
If you follow any AI influencers or creators on social media, there’s a good chance you may have seen them more excited than usual lately about a new AI video generation model called “Kling.”
The videos it generates from pure text prompts and some configurable, in-app buttons and settings, look incredibly realistic, on par with OpenAI’s still non-public, invitation only, closed beta AI model Sora, which it has shared with a small group of artists and filmmakers as it tests it and its adversarial (read: risky, objectionable) uses.
[W]here did Kling come from? What does it offer? And how can you get your hands on it? Read on to find out. — Read More
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