90 | How To Use AI to Chat With Your Data with Joanna Stoffregen
May 21, 2024
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Joanna Stoffregen, expert in implementing LLM combined with RAG, discusses the costs of not using AI solutions. She covers project lifecycle, tool selection, implications of not using AI, and comparisons of different AI models for cost-effective content generation.
AI systems are priced based on tokens used for input and output, offering varying costs.
Smaller companies can benefit from no-code tools like Dante or Chatbase, while larger firms may consider enterprise-level solutions like Gain.
Chatting with data tools offer efficient ways to communicate with data, enhancing decision-making and reducing operational costs.
Deep dives
Costs Associated with AI Systems
AI systems are priced based on the number of tokens used for input and output, with different models offering varying costs. Tokens are typically priced per unit, and the cost can vary depending on the model and the volume of tokens used for inference.
Suitability for Different Company Sizes
Chatting with data solutions can benefit companies of all sizes, from individuals to large enterprises. Smaller companies can opt for no-code tools like Dante or Chatbase, while larger firms may consider enterprise-level solutions like Gain. Google and Microsoft are also developing solutions that could mainstream chatting with data across companies of all sizes in the next 12 to 18 months.
Accessible Tools for Different Company Sizes
Tools like Dante and Chatbase are ideal for smaller companies looking to chat with their data without extensive technical knowledge. For larger enterprises, platforms like Gain provide comprehensive solutions for managing and querying data across multiple sources.
Future Integration of Chat with Data Solutions
The integration of chat with data solutions, like ChatBase, Dante, and Gain, may become standard practice in the next 12 to 18 months. Google, Microsoft, and other tech giants are also developing advanced tools that could streamline data communication and accessibility across various company sizes.
Effective Communication of Data Queries
Chatting with data tools offer efficient and effective ways to communicate with data sources, enabling individuals and businesses to access, analyze, and retrieve information from multiple sources seamlessly. By leveraging these solutions, companies can enhance decision-making, reduce operational costs, and improve overall data accessibility.
Joanna is an expert in leveraging Large Language Models (LLM) combined with RAG (Retrieval Augmented Generation) turning data into knowledge and action. Discover what it really takes—and the hidden but high costs of NOT implementing such solutions.
This webinar is tailored for business leaders who are considering or are in the midst of deploying LLM technology. We will cover every step of the project lifecycle, from initial planning and prototyping to testing, deployment, and ongoing maintenance. Joanna will share detailed examples and insights on tool selection, highlighting the pros, cons, and lessons learned from her extensive experience.
Expect to dive deep into the real costs and implications associated with NOT using AI to understand the insights hiding in your data. You'll gain invaluable perspectives to guide your decisions.
Joanna's recent viral posts on LinkedIn have sparked a widespread discussion on reducing LLM costs and optimizing project strategies. In this session, she will expand on these themes, providing clarity and actionable advice.
If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
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