AI Latest Research & Developments - With Digitalent & Mike Nedelko
Dillan Leslie-Rowe
5 episodes
2 weeks 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 R&D Session - With Digitalent & Mike Nedelko - Episode 008
AI Latest Research & Developments - With Digitalent & Mike Nedelko
1 hour
5 months ago
Latest Artificial Intelligence R&D Session - With Digitalent & Mike Nedelko - Episode 008
Session Topics: The Llama 4 Controversy and Evaluation Mechanism Failure Llama 4’s initial high ELO score on LM Arena was driven by optimizations for human preferences—such as the use of emojis and overly positive tone. When these were removed, performance dropped significantly. This exposed weaknesses in existing evaluation mechanisms and raised concerns about benchmark reliability. Two Levels of AI Evaluation There are two main types of AI evaluation: model-level benchmarking for foundati...
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...
