The DAS crew cover a lot of ground in Thursday's episode.
They discuss the potential and current limitations of various AI language models, including Chat GPT, Claude, Pie, Bing Chat, Bard, and others.
They examine the applications, advantages, and drawbacks of these models in different fields such as sales, marketing, real estate, consulting, and franchises.
They explore how these AI tools can disrupt traditional SEO practices and the potential future of AI with open-source language models and custom models for specific industries.
Key Discussion Points:
Chat GPT: The group considers Chat GPT (from OpenAI) as one of the major players in AI language models, with its extensive plugin environment and code interpreter features. However, some participants still prefer using other models like Claude for specific tasks.
Claude: Some participants find Claude useful for specific tasks like content generation and summarizing large amounts of data.
Bing Chat: Bing Chat is seen as having potential for deep search instructions, but its user experience and limitations (initially allowing only five questions) are viewed as drawbacks.
Bard (Google): While Bard is appreciated for its ease of use, there are concerns about the impact of its generative AI feature on SEO practices and content creators.
Open Source Models (Llama 2, Beluga 2): The discussion explored the potential of using open-source models locally for research purposes and for creating more specific and tailored AI solutions. However, the technical expertise required to implement these models is a potential barrier for some.
Future of AI Language Models: The group anticipates a future where companies will have their own language models tuned to their specific industry. They foresee the use of multiple models in a workflow for cost-effectiveness, accuracy, and parallelizing calls for less latency.