Google Gemini, a new AI technology by Google that is expected to change the LLM world in the next few months. The hosts discuss the potential breakthrough in AI, including speculation about GPT-5 and anticipation for Gemini. They explore Gemini's details, combining AlphaGo's strengths with advanced language capabilities. The chapter also touches on the involvement of Sergey Brin, challenges, and the implications of a multimodal LLM release.
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Quick takeaways
Google's Gemini aims to revolutionize AI by combining the language capabilities of large models with the strengths of AlphaGo's reinforcement learning technique, enabling multi-modality in AI.
Gemini, through the fusion of text and image processing, has the potential to offer exciting possibilities such as diagnosing car issues based on videos and generating software code from sketches, impacting the AI landscape.
Deep dives
The Anticipation of New Developments in AI
There is growing excitement in the AI community about upcoming advancements in AI technology. Despite open AI's confirmation that they are not training GPT-5 yet, cryptic messages on AI Twitter and speculation from various sources suggest that something big is on the horizon. One highly anticipated development is Google's Gemini, which aims to combine the language capabilities of large models with the strengths of AlphaGo's reinforcement learning technique. Gemini is expected to revolutionize multi-modality in AI, enabling text capabilities to be combined with image generators, potentially enhancing Google's suite of applications.
Google's Efforts to Surpass OpenAI
Google has merged two AI teams with distinct cultures to catch up with and surpass OpenAI. The result of this effort is Gemini, a collection of large machine learning models. Gemini is set to give Google an edge by combining text capabilities from LLMs like GPT-4 with AI image generators. This integration of multi-modal capabilities could enable functionalities such as analyzing charts, creating graphics with text descriptions, and controlling software using text or voice commands. Google's unique access to data, including YouTube video transcripts or even the video and audio itself, further enhances the potential of Gemini.
The Implications and Potential of Multi-Modal LLMs
The introduction of Gemini and its multi-modal capabilities marks an evolution in AI technology. The fusion of text and image processing offers exciting possibilities, such as diagnosing car issues based on videos and generating software code from sketches. Gemini aims to provide features that were previously only showcased in startups like RunwayML, including text-to-video software. While there are still few details on Gemini's precise capabilities, its development involves key figures within Google, and industry sentiment suggests that Google's renewed competitiveness will greatly impact the AI landscape.
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Excitement for New AI Developments and Speculation on Google's Gemini
AI Twitter is buzzing with cryptic posts about how the LLM world is set to change in the next few months. On today's episode, NLW looks at everything we know about Google Gemini.
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