In this episode, we dive into the most significant milestones in generative AI during 2024 and explore how these advancements are transforming industries worldwide.

Whether you're a tech enthusiast, industry professional, or just curious about the future of AI, this episode provides a comprehensive overview of how generative AI is making its mark in 2024 and beyond.

Some links to further check out resources:

https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai

https://openai.com/index/hello-gpt-4o/

https://www.ibm.com/think/insights/artificial-intelligence-trends

https://www.etoro.com/news-and-analysis/press-releases/etoros-first-ai-generated-ad-campaign-to-be-aired-during-paris-olympics/

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Below we attach a list of models that is helpful to catch up with the most relevant ones from 2024 so far:

• Llama 3.1: Meta's latest version in the Llama series, offering significant improvements in both language understanding and generation capabilities. https://llama.meta.com
• GPT-4o and GPT-4o mini: Enhanced versions of OpenAI's GPT series, focusing on more efficient and contextually aware text generation.
• Phi 3: A new model developed for complex multimodal tasks, integrating text, audio, and visual data processing. (SLM): https://azure.microsoft.com/en-us/blog/introducing-phi-3-redefining-whats-possible-with-slms/
• Mistral Large 2: Known for its low latency and high performance, particularly in real-time applications (The GitHub Blog) (ThinkPalm).
• DeepDream: An updated version of Google's model that generates visually striking and abstract images using deep neural networks (ThinkPalm).
• GitHub Copilot: A collaborative tool that assists developers by providing context-aware code completions, now enhanced with broader language support and improved interactive documentation suggestions (ThinkPalm) (The GitHub Blog).
• Microsoft 365 CoPilot, Studio
• Complexity of Generative AI Adoption in Corporate

Recent Generative AI Models Developed (January 2024 - July 2024)