ImportAI 449: LLMs training other LLMs; 72B distributed training run; computer vision is harder than generative text

1. 1Explore PostTrainBench and its key features, such as end-to-end, autonomous, resource-bounded, and integrity-preserving
2. 2Investigate the performance of LLMs in fine-tuning and post-training, including their strengths and weaknesses
3. 3Consider the implications of AI-driven R&D for the development of future AI systems

AI researchers and engineers can benefit from understanding the capabilities and limitations of LLMs in fine-tuning and post-training, which can inform their development of more efficient and effective AI systems

💡 PostTrainBench shows that LLMs can autonomously improve their performance on new tasks, but with limitations

💡 LLMs can refine other LLMs for new tasks, but not as well as humans #AI #LLMs