7 Lessons From Making $100k+ With AI Projects
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- Опубліковано 4 лип 2024
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🔗 Links in this video
learn.microsoft.com/en-us/leg...
www.langchain.com/langsmith
www.pinecone.io/learn/retriev...
👋🏻 About Me
Hey there, my name is @daveebbelaar and I work as a freelance data scientist and run a company called Datalumina. You've stumbled upon my UA-cam channel, where I give away all my secrets when it comes to working with data. If you want to learn more about what I do, then head over to www.datalumina.io/
Learn more about how I help data professionals
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Dave, thank you for the videos. I am learning LLMs mainly following people on social media. After 6 months of practice I have similar conclusions as yours. This technology is a game changer for me I have medical background without any IT education now I can write code in Python and build apps thanks to LLMs.
Great journey, Dave! Your AI projects generating over 100k in revenue are truly remarkable. Now, I'm curious: how do you and your team stay current with the ever-evolving AI landscape?
Thanks for sharing these valuable lessons from your AI projects since learning from your experiences is truly insightful.
The seven lessons shared by the speaker offer a practical overview for anyone interested in pursuing AI initiatives.
I'm amazed at the potential income that can be earned through AI projects.
I really appreciate the clear and concise way you explain the seven lessons you learned. Your videos are always informative and helpful, and this one is no exception.
It's evident you have a strong grasp of this field. Could you share more about how you approach the balance between software engineering and data science in your projects, and any specific challenges you've encountered while transitioning between these roles?
Great stuff Dave, really enjoying your content. What route would you advise to go from an unstructured individual pdf to a structured json output with the help of an api?
Yes, please do more of these! Super helpful 🙏🏽
Thanks for sharing! Totally agree that we need people to collabrate to build and also take the apps to the community.
The insight into different roles behind AI project is useful. Thanks!
great tips here. you’re a fabulous information resource, thanks!
thank you dave, could you brief us on what project do most clients need in the field of LLM application
Here are my top five use cases for AI right now that almost EVERY business can benefit from:
1. Enterprise data Q&A chatbot (for internal use)
2. Onboarding chatbot for new employees / customers
3. Content generation assistant
4. Customer service assistant
5. AI Assisted Automations (advanced)
thank you @@daveebbelaar
Very well presented, helpful, and easy to take action from!
Hey Dave,
Great channel, great work!
Could you do a video that shows "in action" how to create with Python (and probably LangChain) a chain of several prompts?
I really liked the last part. Thanks for the great tips and insights.
Thank you for sharing this very valuable information. Much appreciated
thank you for sharing what you learn
Great content Dave, thanks for sharing! It's been around 5 months since I've dropped my full-time job to start my own data science and AI business and you are definitely a professional that I look up to - I have scheduled an interview with you on Monday (Mar-18), looking forward to it.
Great practical video! This gives me a lot to think about
Very helpful thank you 🙏
Thanks for sharing...
Very informative input Dave, a little question about the cleanliness of output in relation to input data, does function calling help mitigate this issue by directing the llm to answer in a more concise context when certain more predictable variables are identified as keywords? What are your thoughts on function calling, Thank you
Thanks! Function calling can definitely help guide the AI toward more concise answers as an intermediate step. The challenge is that it requires more API queries, which increases both costs and processing time. I've also tried to address this issue by using regular expressions and pattern matching in one solution, to reduce the need for multiple queries. In that case, I hardcoded the rules with RegEx to decide where to search for information.
Yes, I would very much appreciate more videos like this that delve into the business side along with the tech side as well.
What resources/tools are you using to beef up your SWE skills?
Exactly
how do you find customers?
Thanks!
Do you looking for video editor?
Great video, but just a tip: the background music was a bit too distracting. maybe use something more subtle or reduce the music volume
Now, how is customer acquisition working?
Are the azure models locked down and biased though RLHF like openAI? Are openAPI apis less locked down than chatgpt?
Yes they are also tuned through RLHF. They are clones of OpenAI's models, deployed in Azure. Could you elaborate on your second question?
It seems chatgpt and gpt-x must have differences in their RHLF. Maybe pass through. These rest apis are FAR more accurate and less biased and constrained than the ChatGpt UI on the web site in my experimentation. @@daveebbelaar
Hi Dave , Am a data scientist professional from India. And looking to do freelancing . I would be glad if you could help me in starting up in getting freelancing with US client.
I can provide support and services ... like uploading, testing application ... please be in touch
What is this? Someone who knows what they're talking about and not just selling a course?
Sir, that's illegal. I'm calling the cyber police.
😂