Fine-tuning is a way to teach a computer program called ChatGPT to do a specific task better. To do this, we give ChatGPT examples and ask it questions, and it learns from those examples and answers. We use different techniques like coming up with good questions for ChatGPT, adjusting settings to make it work better, and testing it to see if it's doing a good job. We also make sure that we use diverse examples so that ChatGPT can learn from many different types of things. By doing this, we can make ChatGPT more helpful and accurate, and use it in a fair and good way.

You may have heard about the new Bing, Microsoft's search engine. In this episode, I describe what are some new features, core features, and my experience using it. Give it a try, let me know what you think, and if you want to hear more about it. 

Chatbots have become increasingly popular in recent years, and with the help of large language models like ChatGPT, they have the ability to generate human-like responses. However, to ensure that ChatGPT produces accurate and relevant responses, it is important to consider certain factors when designing prompts.

In this episode, I will be exploring four crucial factors that can help improve the quality of the generated content: contextual relevance, task definition, specificity, and iterations. 

By following these guidelines, we can help ChatGPT generate responses that are relevant, accurate, and meet the desired outcome. 

Whether you are a marketer, developer, or simply looking to improve your chatbot experience, this episode will provide you with valuable insights and tips to help you get the most out of generative AI, large language models, and ChatGPT.

In this podcast, I explore the world of AI code assistants - powerful tools that use artificial intelligence and machine learning to help developers write better code faster. I'll discuss 10 AI code assistants available today, and then delve into the features and capabilities of a few of these assistants, discussing how they can help developers with tasks such as autocomplete, error detection, code recommendations, and code optimization. Whether you're an experienced developer or just starting out, this podcast will help you understand the benefits of AI code assistants and how to choose the best one for your needs.