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.ย 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):ย 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 applicationsย (The GitHub Blog)ย (ThinkPalm).
DeepDream: An updated version of Google's model that generates visually striking and abstract images using deep neural networksย (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 suggestionsย (ThinkPalm)ย (The GitHub Blog).
Microsoft 365 CoPilot, Studio
Complexity of Generative AI Adoption in CorporateRecent Generative AI Models Developed (January 2024 - July 2024)