Another month has passed since we embarked on this incredible journey together as an AI community. I want to express my heartfelt gratitude to all the members who have made this community thrive. The enthusiasm and dedication you have shown is truly inspiring! There are numerous exciting plans in the pipeline for the upcoming month. We are actively seeking individuals who are passionate about AI and would like to contribute to the growth and development of our community! I encourage you to recommend this group to anyone who has an interest in learning about Generative AI and its practical applications in the real world. Together, we can expand our knowledge and make a meaningful impact. Now, it's time to announce the winner of our Leaderboard for the month of March. Drumroll, please! The deserving recipient of this prestigious title is none other than @Ilya Belikin!!! 🎊🎊 Congratulations, Ilya, on your outstanding achievement! As a token of our appreciation, we will be gifting you a complimentary copy of @Altaf Rehmani's latest book "Generative AI For Everyone"! Let's continue to share our insights, engage in deep learning, and explore the limitless possibilities of AI. Remember, we are just scratching the surface of what we can accomplish together.

https://demo.hume.ai – absolutely stunning demo of very responsive and emotionally adept voice chat.

A student reached out to me for a school project and asked me the following 5 questions: 1. What areas of research in AI deserve more attention? 2. Would it be possible to have AI in an educational setting as an omnipresent way of monitoring/grading students? 3. What would you say to someone with a pessimistic opinion about AI? 4. What are the main ethical considerations and challenges regarding the use of AI? 5. How do you think the relationship between machines and humans will be in the future? My answers are below. Feel free to reply with your own answers! ## What areas of research in AI deserve more attention? Building on the impressive capabilities of large language models (LLMs), an emerging trend in AI research is the development of agent-based AI systems. These systems enhance LLMs with additional capabilities, such as the ability to use tools, learn from interactions, and work autonomously on complex tasks. Examples of such systems include Devin, CrewAI, Autogen, and ChatDev, each designed to autonomously solve problems in various domains. Devin, developed by Cognition Labs, is an agent-based AI system focused on software engineering tasks. It can autonomously plan and execute complex development workflows, learn new technologies, find and fix bugs, and contribute to open-source projects. Similarly, CrewAI, Autogen, and ChatDev are autonomous agent-based frameworks that orchestrate teams of AI agents to collaborate on a wide range of tasks. The potential applications of agent-based AI are vast, extending to all sorts of complex, multi-step problems that could benefit from enhanced autonomous AI systems. However, while many research groups are working on developing these systems, there has been insufficient systematic study comparing the different approaches to each other. Typically, when a new agent-based system is announced, researchers compare its performance to unenhanced LLMs like GPT-4. However, this is not an apples-to-apples comparison, as the agent-based systems have additional capabilities beyond the base LLM. For example, Devin's performance on software engineering benchmarks was compared against raw LLMs, showing a significant advantage. This comparison is misleading, as it doesn't account for Devin's additional tools and capabilities.

Don't forget to join today's sharing session by IIya Belikin on how he created an adventure RPG game using AI! The session will begin at 6:00 pm Hong Kong time (GMT +8:00). Looking forward to seeing all of you there!

My friend is a product manager at Deepgram, and they just released a ten times faster text-to-speech model as well as a very fast speech-to-text. This demo shows how combining it with Groq for fast LLMs, we can build a completely hands-free conversational experience https://www.youtube.com/watch?v=J2sbC8X5Pp8 the demo at their own website it also very impressive https://aura-tts-demo.deepgram.com/# (but does not use Groq yet, so a bit slower)