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Thanks for the article. What's the difference between fine tuning a model and RAG? Seems like both RAG has external data that you feed into a model to augment the response. Fine tuning a model, can you send the same external data to the model to "fine tune" it with the same output?
Great post! I am wondering if we can translate your blog into Chinese and post it on AI community. We will keep the original link and state where it is translated from. Thank you!
Since the generative artificial intelligence entered the mainstream view at the end of 2022, most people have gained a basic understanding of this technology and have learned how it uses natural language to help people interact more easily with computers. Some even casually discuss hot terms like "prompts" and "machine learning" in conversations with friends. However, as AI technology continues to evolve, its vocabulary and terminology system are also continuously evolving.
Thank you, both - excellent introduction and overview!
Video generators (eg. Sora, Dream Machine, Kling) would be a useful addition to your list of GenAI model types.
Excellent . Please continue this as series. Can you please cover genAI use cases in software testing domain
Thanks for the article. What's the difference between fine tuning a model and RAG? Seems like both RAG has external data that you feed into a model to augment the response. Fine tuning a model, can you send the same external data to the model to "fine tune" it with the same output?
Great post! I am wondering if we can translate your blog into Chinese and post it on AI community. We will keep the original link and state where it is translated from. Thank you!
Great introduction. SimplifAIed
Excellent Info
Thank you so much
This article is a great introduction even for complete technology noobs like myself.
Why did you compare AI to Physics? I didn’t quite grasp that bit.
Can you please suggest relevant books on the same lines? Thanks.
Awesome introduction!
Really thank you!
Great introduction!
Since the generative artificial intelligence entered the mainstream view at the end of 2022, most people have gained a basic understanding of this technology and have learned how it uses natural language to help people interact more easily with computers. Some even casually discuss hot terms like "prompts" and "machine learning" in conversations with friends. However, as AI technology continues to evolve, its vocabulary and terminology system are also continuously evolving.