Businesses using large language models as APIs should consider the importance of building on existing models rather than training their own, focusing on tuning existing models to create unique value. This middle layer of tuning models is seen as critical for startups to create enduring value through unique data flywheels that improve over time, differentiating them in the market and offering specialized solutions for various industries such as medicine or customer service.
A re-broadcast of Greylock general partner Reid Hoffman's interview with OpenAI CEO Sam Altman, recorded during Greylock's Intelligent Future summit in August 2022. Founded in 2015, OpenAI has recently released several high-profile products in quick succession: succession: its generative transformer model GPT-3 – which uses deep learning to produce human-like text – its image-creation platform DALL-E – and most recently, ChatGPT. Trained on massive large language models, the highly sophisticated chatbot can mimic human conversation and speak on a wide range of topics.
You can watch a video of the interview here: https://youtu.be/WHoWGNQRXb0
You can read a transcript of this interview here: https://greylock.com/greymatter/sam-altman-ai-for-the-next-era/
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