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Machine learning scientist, author, and LLM developer Maxime Labonne talks with Ben and Ryan about his role as lead machine learning scientist, his contributions to the open-source community, the value of retrieval-augmented generation (RAG), and the process of fine-tuning and unfreezing layers in LLMs. The team talks through various challenges and considerations in implementing GenAI, from data quality to integration.
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Merhaba, ben Ali Kara. Özel Kocaeli Güneş Okullarında eğitim veren 6 senelik bir İngilizce öğretmeniyim. Hala okulumuzda İngilizce öğretimine devam ediyorum. Öğrencilerim ile hem çevrimiçi (zoom üzerinden) hem de yüzyüze biraraya geliyorum. Güneş okulları olarak öğrencilerimizin yabancı dil öğrenimine önem veriyoruz. Bu sebeple bir çok etkinlik ve proje ile dil öğrenimini destekliyoruz. Öğretmenlik dışında 2014 yılında hobi olarak kod yazmaya başladım. Başta eğitim içerikleri olmak üzere birçok web projelerinde görev aldım. Etüt sistemi, Öğretmen platformu, Randevu sistemi, Online ödeme sistemi, alışveriş otomasyonları gibi çeşitli projeler geliştirdim. Yapay zeka desteği ile halihazırda farklı içerikler oluşturuyorum.
I’m not sure this is actually news for people that have been following the field for a while. I mean, it’s nice to see the topic trending and growing interest, but there’s a lot that’s lacking and frankly inaccurate in this article. LLMs are not going to take over the world and automate millions of jobs overnight.
I wonder if the author is aware of GPT-4. They mention, as an aside, that LLMs are still not very good at generating creative content, but from what I’ve been seeing in the wild, GPT-4 has overcome that limitation, or at least it’s gotten pretty darn good at it!
Oh, wow! Another article about LLMs. How original. I’m sure we’ve all heard it all before. LLMs are going to change the world, blah, blah, blah. Wake me up when they actually do something useful.
I agree with the author that LLMs have the potential to be a powerful tool for good. However, I think it’s important to remember that they are still a new technology, and there are still many ethical concerns that need to be addressed. For example, how can we ensure that LLMs are used to promote truth and justice, rather than to spread misinformation and propaganda?
I’m just imagining a world where LLMs are used to write all of our code, generate all of our art, and even write all of our jokes. It would be a strange and wonderful place.
This article is biased and one-sided. The author completely ignores the potential risks and dangers of LLMs. For example, LLMs could be used to spread misinformation or create propaganda. They could also be used to automate tasks that are currently performed by humans, leading to job losses.
I agree with the author that LLMs have the potential to revolutionize many industries. However, I think it’s important to be realistic about the challenges that still need to be overcome. For example, LLMs are still not very good at generating creative content. They also tend to be biased towards certain groups of people.
The author writes that LLMs have the potential to revolutionize many industries, but I don’t think they realize just how big that potential really is. These models are still in their early stages, and they’re already capable of things that were once thought to be impossible. I can’t wait to see what they’re capable of in the years to come.
This is a great article! I’ve been following the development of LLMs for a while now, and it’s exciting to see how they’re finally starting to reach their potential. I’m particularly interested in the potential of LLMs for education. I think they could be a powerful tool for helping students learn and understand complex concepts. The only thing I found lacking in the article was a discussion of the ethical implications of LLMs. For example, what are the privacy concerns associated with LLMs? How can we ensure that LLMs are used for good and not for evil?
This is a great article! I’ve been following the development of LLMs for a while now, and it’s exciting to see how they’re finally starting to reach their potential. I’m particularly interested in the potential of LLMs for education. I think they could be a powerful tool for helping students learn and understand complex concepts.
Great article by a real expert whose work on this subject I have followed for well over a decade.
The author does a good job of explaining the basics of LLMs, but I would have liked to see more discussion of the ethical implications of this technology. For example, what are the privacy concerns associated with LLMs? How can we ensure that LLMs are used for good and not for evil?
This article is a joke! The author clearly doesn’t know what they’re talking about. LLMs are nothing more than a glorified text generator. They’re not going to revolutionize anything.