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@datmlguy
Healthcare Software, AI & ML Engineering, AWS Cloud, Math, Statistics, Product Development, Full Stack Development & Consulting
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About 5% of my coworkers were top performers. They crushed it inside and outside of the office. Most were millionaires, and I took notes. I studied what they did. They all had the same 12 characteristics that made them wildly successful people.
🚀 🔥 AI Medical Assistant Part 2: LLM and Chatbot Deployment nexusnotes.blog/p/ai-medical-a…
We’re excited to open-source secinsights.ai - a full-stack, production-ready RAG app! 🦙🏦 Supports streaming, reasoning steps, citations, intuitive UI This can save you weeks/months of hard work in trying to build a prod LLM app from scratch🔥 github.com/run-llama/sec-…
"Building an AI Medical Assistant Part 1: LLama2 Fine-Tuning with Hugging Face Containers, QLoRA and PEFT With WANDB in AWS Sagemaker Spot Instances to cut LLM customization costs.” open.substack.com/pub/alfeo/p/bu…
Vector Databases... the other side of the coin in LLM enabled designs and today's data driven decision making. open.substack.com/pub/alfeo/p/un…
An AI-powered app that will evaluate your journal article and increase your chances of getting published — Paperpal. Here's how to use it in four easy steps:
Announcing GPT-4, a large multimodal model, with our best-ever results on capabilities and alignment: openai.com/product/gpt-4
A Bloomberg Terminal costs $2,500 per month (that's $30,000 per year—the cost of a car) It's the portal to all the world's financial data. Reserved for the Wall Street elite to outfox the normal investor. Unaffordable for 99.9% of us. Until now:
12 Python libraries for free market data everyone should know:
Deep learning takes data points and turns them into a query-able structure that enables retrieval and interpolation between the points. You could think of it as a continuous generalization of database technology.
College completely failed to teach me data analysis beyond Excel. So I learned Python and never looked back. Along the way, I picked the best libraries for machine learning and data analysis. But unlike college, these won't cost you $60,000. Here are the 16 best for free:
Have you seen #dalle2 and #Imagen and wondered how it works? Both models utilize diffusion models, a new class of generative models that have overtaken GANs in terms of visual quality. Here are 10 resources to help you learn about diffusion models ⬇ ⬇ ⬇
The greatest danger to finance workers is not automation. Their greatest danger is other (likely younger) workers with coding skills. People who can process large amounts of unstructured data, perform high-throughput tasks, and work alongside algorithms.
Everytime I see a new paper from @Susan_Athey I am reminded of William Gibson's famous quote: "The future is already here — it's just not very evenly distributed." Here's the latest using GANs to generate synthetic data to evaluate estimation methods: arxiv.org/pdf/1909.02210…
it’s not a “java or python” choice, but I still think this is hillarious 😂
As a country, we consume 205.8 million barrels of beer per year: onforb.es/1IGB9FS #NationalBeerDay
United States الاتجاهات
- 1. Broncos N/A
- 2. Stidham N/A
- 3. Drake Maye N/A
- 4. Sean Payton N/A
- 5. Pats N/A
- 6. $GHOST N/A
- 7. Campbell N/A
- 8. #AFCChampionship N/A
- 9. Tony Romo N/A
- 10. #NEvsDEN N/A
- 11. Stiddy N/A
- 12. Josh McDaniels N/A
- 13. Gonzo N/A
- 14. Arsenal N/A
- 15. Sutton N/A
- 16. Pretti N/A
- 17. Lutz N/A
- 18. Hunter Henry N/A
- 19. #BedBathandBeyondisBack N/A
- 20. Christian Gonzalez N/A
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