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Zeta Alpha Trends in AI - January 2024: 10 predictions for AI in 2024

In this month’s edition, we look into the crystal ball and discuss our 10 predictions for AI in 2024. Learn about Self-Play, RL and Synthetic Data. Mobile ALOHA and the race to Foundational Robotics models. Mistral-E5: A new SOTA for MTEB. LLMs on edge devices, and much much more. Dissecting the current Trends in AI: News, R&D breakthroughs, trending papers and code, and the latest gossip. Live talk show from LAB42 with the Zeta Alpha crew, and online on Zoom. Sign up for the series, and catch us live on the next edition! https://us06web.zoom.us/webinar/regis... 0:00 - 2:29 Introduction by Jakub Zavrel, Dinos Papakostas, and Rodrigo Nogueira 2:30 - 9:03 [Prediction 1] OpenAI will soon respond to the competition. Is it going to be GPT-4.5 or GPT-5? 9:04 - 12:38 [Prediction 2] Legal issues won't stop large-scale GenAI pre-training. 12:39 - 16:27 [Prediction 3] NVIDIA will start facing serious competition in the hardware-accelerator space for AI training. 16:28 - 21:28 [Prediction 4] The new best models in 2024 will be trained on synthetic data, with techniques like self-play. 21:29 - 32:56 [Paper] Improving Text Embeddings with Large Language Models 32:57 - 37:35 [Paper] Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models 37:36 - 40:16 [Paper] Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models 40:17 - 43:00 [Paper] ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent 43:01 - 44:56 [Prediction 5] Text-to-video and multimodal models will finally have their ChatGPT / DALL-E moment. 44:57 - 49:02 [Paper] Generative Multimodal Models are In-Context Learners 49:03 - 50:05 [Paper] VideoPoet: A Large Language Model for Zero-Shot Video Generation 50:06 - 50:24 [Paper] MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation 50:25 - 53:52 [Prediction 6] LLMs will be available at everyone's fingertips ... and eyes? 53:53 - 56:32 [Paper] LLM in a flash: Efficient Large Language Model Inference with Limited Memory 56:33 - 57:53 [Paper] PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU 57:54 - 58:09 [Paper] MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices 58:10 - 1:00:33 [Prediction 7] We will have the first generation of foundational robotics models by the end of this year. 1:00:34 - 1:02:16 [Paper] Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation 1:02:17 - 1:03:19 [Prediction 8] Everyone will have their own, personal LLM. 1:03:20 - 1:05:12 [Prediction 9] AI4Science: Drugs, materials, and designs "invented" by AI will make a real-world impact. 1:05:13 - 1:06:59 [Prediction 10] Generative AI will start to contribute to real revenue and profit in companies. 1:07:00 - 1:07:51 [Paper] Retrieval-Augmented Generation for Large Language Models: A Survey 1:07:52 - 1:09:06 Outro & What's next