fsndz

20 ms·

301.
by fsndz 2y ago
To take your analogy of the plane, we say the plane flies. We don't say the plane flies like a bird because that wouldn't be accurate. Similarly, we should say, for example, that LLMs summarize, generate text, retrieve potential a
302.
by fsndz 2y ago
agree, hence the need to not anthropomorphise and remember there will be no AGI, just useful tools: https://medium.com/@fsndzomga/there-will-be-no-agi-d9be9af44...
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by fsndz 2y ago
it is really amazing indeed !
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by fsndz 2y ago
Why this when I can just use postgreSQL and pgvector ? Like in this example I found recently: https://www.lycee.ai/courses/91b8b189-729a-471a-8ae1-717033c...
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by fsndz 2y ago
all that could be implemented simply using instructor: https://www.lycee.ai/courses/a1ba236b-59e8-48e3-8577-a3e7bc6...
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by fsndz 2y ago
That's super useful, might be perfect fit for a RAG app with postgreSQL and pgvector: https://www.lycee.ai/courses/91b8b189-729a-471a-8ae1-717033c...
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by fsndz 2y ago
I love this. I am currently doing this tutorial of RAG where the vector DB is simply postgreSQL and pgvector. I guess I can try to reproduce that with SQLite and sqlite-vec now ! Awesome: https://www.lycee.ai/courses/91
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by fsndz 2y ago
What's a real-life use case of theorem proving ? I really want to learn more about that but it always feel like an abstract thing that people do because they like solving puzzles. Does it help in solving the reliability challenge of cu
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by fsndz 2y ago
absolutely
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by fsndz 2y ago
I read it too and it seems like the problem is precisely that nobody has a precise definition of what AGI will be. A system that is always right ? If so impossible. A system that is just like humans ? Humans are sometimes right and sometime
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Build the Killer App of Generative AI(mailchi.mp)
2 points by fsndz 2y ago|0 comments
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by fsndz 2y ago
Some people even argue that we won't be able to build any AGI... https://www.lycee.ai/blog/why-no-agi-openai
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Build the Killer App of Generative AI(mailchi.mp)
2 points by fsndz 2y ago|0 comments
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by fsndz 2y ago
This is what happens when expectations of productivity gains thanks to AI are not realistically set: "Despite 96% of C-suite executives expecting AI to boost productivity, the study reveals that, 77% of employees using AI say it has ad
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by fsndz 2y ago
More and more companies leverage marketing mix modeling to optimize their advertising strategies and improve ROI. They use historical data to identify the impact of various marketing tactics on sales and adjust their budget allocations to m
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by fsndz 2y ago
Small language models is the path forward https://medium.com/thoughts-on-machine-learning/small-langua...
317.
by fsndz 2y ago
LLMs still do not reason or plan. And nothing in their architecture, training, post-training points toward real reasoning as scaling continues. Thinking does not happen one token at a time.
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by fsndz 2y ago
The thing is we probably can't build AGI: https://www.lycee.ai/blog/why-no-agi-openai
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by fsndz 2y ago
just use instructor: https://medium.com/thoughts-on-machine-learning/drop-langcha...
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by fsndz 2y ago
When it comes to AI, self learning is dope, and Lycee AI is a pioneer: https://www.lycee.ai/courses/91b8b189-729a-471a-8ae1-717033c...
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by fsndz 2y ago
I personally use Lycee AI. It is awesome: https://www.lycee.ai/courses/91b8b189-729a-471a-8ae1-717033c...
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by fsndz 2y ago
One simple and effective way to use generative AI is to integrate it into your existing applications. By doing this, you can solve real-life problems instead of imaginary ones. For example, consider writing a script to use it in Google Shee
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by fsndz 2y ago
competent management should add flexibility to rigid goal setting.
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Build a RAG system from scratch (no framework)(us22.campaign-archive.com)
3 points by fsndz 2y ago|0 comments
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by fsndz 2y ago
Yes, but you just have to consider that the challenge of AI is mostly reliability: https://www.lycee.ai/blog/ai-reliability-challenge
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by fsndz 2y ago
check this: https://www.lycee.ai/blog/rag-fastapi-postgresql-pgvector
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The Challenge of AI Is Reliability(lycee.ai)
2 points by fsndz 2y ago|1 comments
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by fsndz 2y ago
AI is everywhere now, from chatbots to self-driving cars; it's on everyone's lips. On LinkedIn, the number of AI experts has skyrocketed, even if their so-called expertise is often limited to knowing how to use ChatGPT, Midjourney
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by fsndz 2y ago
I would be inclined to participate if the process involved a test, followed by a manager's review, and then a go/no-go decision. However, the actual process is much more convoluted: the test is estimated at three hours, but from m
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by fsndz 2y ago
exactly what I was thinking even though the job is very interesting and tech recruiting is quite hard in the current environment

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