Crazy Wisdom Beyond the Parameters: Exploring the Real-World Applications of LLMs
Oct 16, 2023
46:09
What is Cerebrium?
Michael Louis, the episode's guest, introduces Cerebrium as a platform that deals with abstractions on two levels, specifically focusing on GPUs and scaling for machine learning applications.
The Importance of GPUs in LLMs- Why are GPUs essential for large language models (LLMs)?
- GPUs have the capability to handle tens of gigabytes of data, which makes them superior to CPUs for LLM tasks.
- The cost challenge: Running GPUs 24/7 is not feasible due to their high costs.
- Serverless computing is becoming crucial for making GPU usage affordable.
- Generating a million API requests could cost tens of thousands of dollars, highlighting the importance of cost-efficient solutions.
- Enterprise-level solutions could cost a couple of million dollars annually.
- Instacart uses specific and fine-tuned models for its operations.
- When customer support bots answer queries, each question processed by a 100-billion parameter model can cost approximately ten cents.
- One of the challenges is latency; the time delay is often too high for practical applications.
- Companies like AWS are developing specialized chips for specific use cases to combat latency and other issues.
- GPT-4 and similar models are opening doors for generative AI and traditional machine learning applications.
- Autonomous agents and Artificial General Intelligence (AGI) differ in their approximations and semantic understanding.
- AGI is considered the terminal reference for fully self-aware AI, while autonomous agents operate based on defined workflows.
- Michael Louis aims to make machine learning more accessible for medium-sized enterprises.
- There is a significant challenge in regulating technology that we do not yet fully understand, like cryptocurrency.
- Louis discusses the high unemployment rate in South Africa and the importance of understanding the privilege of a job.
- He emphasizes the role of power in making a social impact.
- In-person relationships are essential for B2B success.
- Louis stresses the need for penetrating network circles for business advantage.
- From his early days in South Africa studying computer science to becoming an entrepreneur, Louis talks about his life journey.
- He shares the experience of selling a startup to Walmart and what led him to his current venture.
- Louis believes that context awareness for robotics is the future, citing examples from Boston Dynamics and others.
- He discusses the ethical implications of robots in everyday life and their potential in various fields like space travel and mining.