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This “Approachable AI” series 11th webinar explores Retrieval Augmented Generation (RAG) for building custom Large Language Models using company data, focusing on efficient, targeted responses. We demonstrate a practical RAG setup, offering business and technical insights on leveraging RAG for tailored AI solutions.
We present five bold predictions for AI in 2024, where we expect breakthroughs in generative AI and significant shifts in AI adoption and marketing communication.
Improve the quality of retrieval augmented generation responses using classification to select better data and system messages.
The tenth installment of our “Approachable AI” series: “2023 Wins & 5 Predictions for 2024”. This engaging webinar offers a deep dive into five compelling topics that shape the future of AI. Explore the nuanced interplay of System 1 and System 2 thinking and its impact on AI development. Plus,…
LLMs only have access to information about things they were trained on, which limits their capabilities. This can be avoided by using Retrieval Augmented Generation, or RAG for short.
The “Artificial, yet Intelligent” session hosted by EACC Texas and FABG Dallas, explores how generative AI is reshaping content, workforce dynamics, and competitive landscapes. This ninth edition in the “Approachable AI” series makes AI accessible for decision-makers, positioning technology as an enabler rather than a goal. Highlights include insights into…
The “AI’s impact on business model innovation” webinar is our eighth in the “Approachable AI” series.
Welcome to “Future of Work with Generative AI,” part of our “Approachable AI” series. Recorded live at the 3rd Annual EACC Texas EU-Texas Economic Forum in Dallas, this session explores how generative AI is reshaping knowledge work. Designed for decision-makers, it highlights who stands to benefit from AI-driven disruption and…