{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Crazy Wisdom","title":"Beyond the Parameters: Exploring the Real-World Applications of LLMs","html":"","width":"100%","height":180,"duration":2769,"description":"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. Financial Considerations 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. Use Cases and Limitations 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. The Role of Specialized Chips 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. The Future: AGI vs. Autonomous Agents 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. Impact of AI and Ethical Considerations 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. Global Perspectives and Social Impact Louis discusses the high unemployment rate...","thumbnail_url":"https://img.transistorcdn.com/UZbrDrlO5VTfDNcq188THwbv0T09vcmLyzx3BcPI9bs/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81Y2Rj/OGFiMTYyMGFkNTM5/N2NjOWI2MWM5YzQ1/YTc2Ny5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}