AI Latest Research & Developments - With Digitalent & Mike Nedelko
Dillan Leslie-Rowe
5 episodes
1 month ago
Sora Model and AI Video OpenAI’s Sora model demonstrates how AI video has become nearly indistinguishable from real footage, reinforcing that AI progress continues to accelerate. Hallucinations in LLMs Mike Nedelko discussed an OpenAI paper reframing hallucinations as the result of training flaws and evaluation incentives, not mysterious behaviour. LLMs train in two phases: unsupervised pre-training (predicting the next word) and post-training (fine-tuning through human feedback and reinforc...
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Sora Model and AI Video OpenAI’s Sora model demonstrates how AI video has become nearly indistinguishable from real footage, reinforcing that AI progress continues to accelerate. Hallucinations in LLMs Mike Nedelko discussed an OpenAI paper reframing hallucinations as the result of training flaws and evaluation incentives, not mysterious behaviour. LLMs train in two phases: unsupervised pre-training (predicting the next word) and post-training (fine-tuning through human feedback and reinforc...
Latest Artificial Intelligence Latest R&D Session - With Digitalent & Mike Nedelko - Episode (009)
AI Latest Research & Developments - With Digitalent & Mike Nedelko
1 hour 5 minutes
5 months ago
Latest Artificial Intelligence Latest R&D Session - With Digitalent & Mike Nedelko - Episode (009)
In this conversation, Mike discusses the latest developments in AI and machine learning, focusing on recent research papers that explore the reasoning capabilities of large language models (LLMs) and the implications of self-improving AI systems. The discussion includes a critical analysis of Apple's paper on LLM reasoning, comparisons between human and AI conceptual strategies, and insights into the Darwin-Girdle machine, a self-referential AI system that can modify its own code. Mike...
AI Latest Research & Developments - With Digitalent & Mike Nedelko
Sora Model and AI Video OpenAI’s Sora model demonstrates how AI video has become nearly indistinguishable from real footage, reinforcing that AI progress continues to accelerate. Hallucinations in LLMs Mike Nedelko discussed an OpenAI paper reframing hallucinations as the result of training flaws and evaluation incentives, not mysterious behaviour. LLMs train in two phases: unsupervised pre-training (predicting the next word) and post-training (fine-tuning through human feedback and reinforc...
