GENERATIVE AI

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LLM Production Challenges: Hallucinations and Agent Error Rates

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@abacusai

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16 January 2024 18h13

We have not seen too many LLM apps and agents in production yet due to LLMs hallucinating or making mistakes. Autonomous agents have way too high of an error rate for any tasks besides straight forward tasks. At http://
Abacus.AI, we have been thinking of this problem;

Democratizing AI Access and Sustainable Business Models with Dmitry

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16 January 2024 18h00

Dive deeper into Dmitry’s visions by watching full podcast interview on my YouTube channel where he discusses democratizing AI access, sustainable business models, and why indexing minds surpasses conversation: https://
youtu.be/Y_NijxPgybo

Embracing AI-Native Solutions with Purpose and Ethics

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16 January 2024 18h00

8. Embracing the AI-Native Future The future belongs to those embracing AI-native solutions. But purpose and ethics should drive innovation. Help shape it by boldly building, sharing knowledge, and engaging.

Democratizing Prompt Engineering to Balance AI Power

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16 January 2024 18h00

7. Balancing AI's Power AI expands possibilities for all, but also powers the most sophisticated organizations. Democratizing prompt engineering helps balance this equation.

Experimentation Remains Crucial for Model Tuning and Sequencing

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16 January 2024 18h00

4. Experimentation Still Crucial Dmitry cautions against over relying on current best practices, which change rapidly. Experimentation remains crucial to find the right tuning and sequencing of models for each use case.

Mind Indexing Replaces Conversational AI Assistants

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16 January 2024 18h00

3. Indexing Minds, Not Conversing Dmitry believes we'll leapfrog Al assistants that try to understand usersnthrough conversation. Directly indexing each person's mind will enable far more personalized and relevant experiences.