EP53: Mistral Large, Forecasting with LLMs, The Gemini Pile On & Is CoPilot Using GPT-4.5?
Mar 1, 2024
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This podcast delves into Mistral's Large model, AI lip reading, the Gemini backlash distracting from advancements, the great AI training data sale, forecasting with LLMs, Klarna's AI agents replacing humans, and the speculation on whether CoPilot update is using GPT-4.5.
Emphasis on aligning AI models raises ethical concerns while aiming to improve performance.
Deep dives
Gemini 1.5 Model Overshadowed
Despite the technological breakthrough of Gemini 1.5's million-context window, the focus shifted to negative attention on diverse depictions in image creation, overshadowing the model's potential reasoning capabilities.
Impressive Visual Speech Processing
VSP LLM Visual Speech Processing model stands out for transcribing lip movements into speech accurately, opening doors for innovative applications like live translations, aiding those with hearing impairments, and potential espionage uses.
Alignment Challenges in AI Models
The emphasis on alignment in AI models, aiming to address biases and offensive outputs, led to altered prompts and reduced quality of results, raising concerns over balancing ethical considerations with model performance.
Future Potential Amidst Criticism
Amidst criticisms and controversies, the potential of advanced AI models like Gemini 1.5 and VSP LLM remains significant, offering groundbreaking applications in reasoning, speech processing, and data utilization, despite challenges in aligning ethical standards with model output.
Impact of Synthetic Data on AI Training
The podcast discusses how the reliance on synthetic data in training AI models may not be as effective as using real-world data from platforms such as Tumblr and Stack Overflow. By highlighting the importance of authentic data, the episode raises concerns about the limitations of synthetic data and the value of incorporating real human examples in training AI models to achieve more sophisticated results. Examples from the podcast indicate that fine-tuning models on curated real-world examples has shown to yield better prediction accuracy compared to using synthetic data alone.
Evolving Role of AI in Customer Support
The episode delves into the evolving landscape of AI in customer support, exemplified by Klana's assertion that its AI assistant can replace 700 human agents. However, the conversation challenges the current efficacy of AI chatbots in handling complex customer interactions, suggesting that while AI may enhance efficiency in some cases, it may still lack the finesse required for nuanced customer support scenarios. The discussion touches on the need for curation in AI training data and the potential legal and ethical implications of AI-powered customer interactions, emphasizing the importance of balancing human oversight and technological advancement in customer service.
This week we talk about the release of Mistral's Large model, Mistral Le Chat, and their deal with Microsoft Azure. We cover papers on Emote Portrait Alive, AI Lip Reading and Cover the Gemini Pile On and how it is distracting from Gemini and the 1M context size break through. We cover the great "data sale" of both Reddit, Tumblr and Stackoverflow data and discuss the Forecasting with LLM paper from Berkeley. We also cover Klarna's 700 support agent replacing AI agents and ask... is Sydney Back with GPT-4.5?
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CHAPTERS: 00:00 - Cold open 00:44 - A Tough Week for AI Influencers 02:29 - Mistral Large, Mistral Le Chat & Microsoft Azure Partnership 30:31 - EMO: Emote Portrait Alive 36:26 - VSP-LLM: Visual Speech Processing incorporated with LLMs. AI Lip reading tech. 40:06 - The Google Gemini Pile On / Backlash: Is it taking attention away from 1M context breakthrough? 55:25 - The Great AI Training Data Sale: Reddit, Tumblr, Stackoverflow 1:00:34 - Forecasting with LLMs Paper: Can AI Predict The Future? 1:10:15 - Klarna Says They Replace 700 Humans with AI 1:18:07 - Is Microsoft's CoPilot Update Really GPT-4.5?
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