20VC: Chips, Models or Applications; Where is the Value in AI | Is Compute the Answer to All Model Performance Questions | Why Open AI Shelved AGI & Is There Any Value in Models with OpenAI Price Dumping with Aidan, Gomez, Co-Founder @ Cohere
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
**RAG: retrieval augmented generation **
In financial services, there is a notable shift away from cloud solutions as companies are opting to enhance their own data center capabilities. However, across different industries, many organizations continue to pursue cloud migration, recognizing the inefficiency of maintaining extensive data centers. The understanding of AI within enterprises remains immature, with widespread apprehension about its reliability. A prevalent concern is the phenomenon of 'hallucination' in AI models, leading to the belief that the technology is fundamentally flawed. Despite advancements, these models can still produce inaccuracies, drawing parallels to human fallibility in memory and perception. The occurrence of these errors, referred to as hallucinations, is being monitored through established benchmarks, which indicate a significant decrease in hallucination rates in tandem with improvements in model performance. The introduction of Retrieval Augmented Generation (RAG) represents a paradigm shift in this domain, promising enhanced accuracy in AI outputs.
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