Mert Cakmak @umitmertcakmak
Build and scale AI apps 🚀 Joined September 2022-
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Enterprises pay a high price for vector databases, especially if RAG is built on top of very large corpora; here's a great way to manage (and reduce) the costs. TLDR: Serverless vector databases can reduce operational costs while maintaining high performance and scalability in…
If you are working on MLOps (or LLMOps) pipelines, here's one thing that can help you a lot… Many teams try to reduce the time it takes to develop projects by automating parts of their machine-learning lifecycle. This includes setting up systems to run ML tasks or automatically…
So many enterprises stay on-prem because of concerns over security and privacy. But the shift has started with hybrid cloud solutions, and there's no turning back. If you're navigating this transition, here are three key principles for securing AI infrastructure from AWS…
Before paying for high-end GPUs for LLM inference, understand your numbers first. For example, you can deploy most 7B models using AWS EC2 G5 or Microsoft NVadsA10v5 instances, but would you effectively saturate GPU utilization? To clarify this, I've created a simple…
Just read that Netflix is ~10% of all global downstream traffic, wild! What’re you all watching?
The other day, I was thinking about LLMs in production and how much they are susceptible to model decay, just like any other ML model. The prompts and responses will inevitably drift over time. Why this will be a much bigger problem? Given that companies can grow at a…
Did you fine-tune Llama 7B or Mistral 7B with LoRA on Apple silicon? What’s your spec and run config, how long it takes? github.com/ml-explore/mlx…
Of 2700 AI top researchers, 58% think AI has a 5% shot at wiping us out. Doomsday math finally checks out!
Of 2700 AI top researchers, 58% think AI has a 5% shot at wiping us out. Doomsday math finally checks out!
GPT Store next week, what are the best apps you have seen so far?
When your customers ask "What's the average inference latency for 7B, 13B or 70B LLMs?" It’s tempting to say what you know straight away, but you should really "understand first before you measure." The simplest exercise would be to guide them through profiling the expected…
Wow, "deep learning technical marketing engineer"! Is this a role for DL engineers who love posting on X?
I'm building a fine-tuning dataset from my favorite bloggers, not sure how this is gonna end but I'm excited.
Great start to the year 🎉 Folks, we will build and scale many GenAI applications together this year! Let’s gooo! 🚀
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Llama3 was trained on 15 trillion tokens of public data. But where can you find such datasets and recipes?? Here comes the first release of 🍷Fineweb. A high quality large scale filtered web dataset out-performing all current datasets of its scale. We trained 200+ ablation…
We have just released 🍷 FineWeb: 15 trillion tokens of high quality web data. We filtered and deduplicated all CommonCrawl between 2013 and 2024. Models trained on FineWeb outperform RefinedWeb, C4, DolmaV1.6, The Pile and SlimPajama!
@umitmertcakmak Thanks for sharing this. I would also definitely recommend quantising a large model > using a smaller model for speed + performance, they just seem to get better quality outputs and are better in edge case uses.
@umitmertcakmak This is insightful! Thank you for sharing!
@umitmertcakmak Hello Mert, @seeweblive "CS GPU 4" can be good when you need less than 24 GB RAM (7B models). Here you can find the full gpu cloud proposal (in order: A30, L4, A6000): seeweb.it/en/products/cl…
@umitmertcakmak Applicant must not have hesitations to lie about the sources of the training datasets used for our models.
@umitmertcakmak Recently I saw an ad for "LLM advocate", and I thought do llms really need any advocacy at this point?!
@svpino @umitmertcakmak The vast majority of SAAS is a pretty ui that simplifies a task that was previously done on spreadsheets, accounting, crm, hr etc, all saas that replaced a spreadsheet.
@umitmertcakmak I'm with you. Previously I could look to futurists, trends spotters, and others and have a clear 10+ year map to share with the leaders in my network. Now everyone's like, "Next six months, we'll probably see..."
@umitmertcakmak @svpino it's the OG low/no-code application platform.
@umitmertcakmak Yeah, I've seen crazy complicated stuff built with spreadsheets.
Embeddings are impressive and often overlooked amid the hype around generative AI. It's awesome that we can richly represent the world with numerical vectors. While text and image embeddings are often talked about there is a lot of untapped potential with other data.
@umitmertcakmak that my best guess at predicting the future 🔮
@umitmertcakmak Happy New year to you. And wish you & your family & friends a beautiful healthy 2024🎊🎉💖🎄🎂🥂
@umitmertcakmak Happy New Year! But it is still 9:00 p.m. on December 31st in Japan😆
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