Скачать или смотреть E30: LLMs, Exploring Function Calling in AI Models and DIY approach

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Summary

In this episode, Erick and Laura discuss the latest developments in AI technology, focusing on the importance of research and understanding the impact of AI on business. They go on the leaderboard and explore the latest function calling AI models and how they rank, the role of emotional intelligence in customer service, and how AI can be leveraged for marketing and business decisions. The conversation also touches on visual interpretation and the evolution of AI models, concluding with thoughts on AI's role in society and the need for continuous improvement in the field. In this conversation, Erick Barreat and Laura Carolina discuss the evolution of AI, the role of major players like Google and OpenAI, and the importance of building a solid foundation for AI projects. They emphasize the need for effective communication, understanding the context of AI applications, and the significance of version control and human oversight. The discussion also covers practical approaches to implementing AI, including DIY solutions and available resources for learning. Ultimately, they advocate for a collaborative approach to AI development, ensuring that businesses can leverage AI effectively to achieve their goals.

🎥 Takeaways 🎥

We want to make sure that we're here.
We like to research it first before discussing new technologies.
There's a lot of work that goes on behind the scenes.
We want to share with you the cool stuff that provides value.
AI is evolving rapidly and has many applications.
Understanding AI's impact on business is crucial.
Function calling in AI models is a significant development.
Emotional intelligence in AI is important for customer service.
Leveraging AI can enhance marketing strategies.
Continuous improvement in AI models is essential for future advancements.
Google's contributions to AI advancements are significant.
AI culture is crucial for building successful AI companies.
Understanding AI problem-solving is essential for effective implementation.
Key questions should be asked early in AI projects.
Effective communication is vital in AI implementation.
Context is important for AI to provide accurate results.
Version control and human oversight are critical in AI development.
DIY approaches to AI can empower businesses to innovate.
There are numerous resources available for learning about AI.
Planning and strategy are essential for successful AI projects.
5Ps: Proper Preparation Prevents Poor Performance.

Chapters

00:00 Welcome Back and Updates
03:03 The Importance of Research in AI
05:52 Understanding AI's Impact on Business
08:58 Exploring Function Calling in AI Models
11:53 Evaluating AI Models: Performance and Use Cases
15:10 The Role of Emotional Intelligence in AI
17:57 AI in Customer Service and Human Interaction
20:52 Leveraging AI for Marketing and Business Decisions
23:57 Visual Interpretation and AI's Future
26:46 The Evolution of AI Models
30:03 Final Thoughts on AI's Role in Society
38:01 The Role of Google in AI Advancements
40:56 AI Culture and Company Building
43:02 Understanding AI Problem-Solving
45:03 Key Questions for AI Projects
45:58 Effective Communication in AI Implementation
49:08 The Importance of Context in AI
50:57 Navigating AI Tools and Models
54:14 Version Control and Human Oversight in AI
56:56 DIY AI: Building Your Own Solutions
01:01:14 Resources for Learning AI
01:03:57 Planning and Strategy in AI Projects
01:09:02 Final Thoughts on AI Implementation


AI, technology, function calling, emotional intelligence, customer service, marketing, business solutions, visual interpretation, AI models, innovation, AI, Google, OpenAI, Anthropic, Claude, AI culture, AI strategy, machine learning, AI tools, version control, DIY AI