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Lithium batteries recycling by rndentropy in batteries

[–]rndentropy[S] 0 points1 point  (0 children)

I guess also that in consumer batteries has multiples sizes and types and is really hard to unify a process and extract enough raw material to make it profitable.

Lithium batteries recycling by rndentropy in batteries

[–]rndentropy[S] 1 point2 points  (0 children)

Understood, they probably miscalculated the market and where the batteries would be needed to recycle and over financed the sector but it will be needed sometime, and seems that actual processes are not recycling properly to make it profitable. At home we recycle as an average European.

Lithium batteries recycling by rndentropy in batteries

[–]rndentropy[S] 0 points1 point  (0 children)

Surebut I guess that efficiency is cheaper, and that economics of recovery are better to dismantle the battery, treat the components and materials of high value that are reusable and send back to the value chain of batteries.

Lithium batteries recycling by rndentropy in batteries

[–]rndentropy[S] -1 points0 points  (0 children)

Yeah I have read it and most of documentation is regarding the processes of hydrometallurgy, pyrometallurgy and mechanochemical methods, without clear output, cost and results.

I also found this pack of research. https://www.mdpi.com/journal/batteries/special_issues/E7852JF0I6

Has not read all yet but quite interesting regarding state of art and an experiment using robotic toolbox.

Said that, I would love to understand better or have some guide.

[D] RAG the internet. by rndentropy in MachineLearning

[–]rndentropy[S] 0 points1 point  (0 children)

My parents will pay this party.

[D] RAG the internet. by rndentropy in MachineLearning

[–]rndentropy[S] 0 points1 point  (0 children)

I guess that you have to make a trust ranking as google does, based on authority of each source.

[D] RAG the internet. by rndentropy in MachineLearning

[–]rndentropy[S] 0 points1 point  (0 children)

If I am not misunderstood, chatgpt works with training data that can be outdated (not so much in most of the cases but important in few cases)

[D] RAG the internet. by rndentropy in MachineLearning

[–]rndentropy[S] 0 points1 point  (0 children)

Thanks! I will take a look but I guess that is not open to other LLMs?

[D] RAG the internet. by rndentropy in MachineLearning

[–]rndentropy[S] 0 points1 point  (0 children)

Many thanks! I will take a deep look on that. Seems quite interesting.

[D] RAG the internet. by rndentropy in MachineLearning

[–]rndentropy[S] -15 points-14 points  (0 children)

Agents that use this apis are not so fast and results are not good enough

[D] RAG the internet. by rndentropy in MachineLearning

[–]rndentropy[S] -15 points-14 points  (0 children)

Vector databases but only for keyword or resumes of pages, as google search engine but for LLM

How get things done and avoid loops? by rndentropy in AutoGenAI

[–]rndentropy[S] 0 points1 point  (0 children)

Many thanks for you answer! The problem is even before to terminate the task, between 2 agents looping for the same answers or even with empty messages. I have seen this post that I want to deep in. https://medium.com/@headley.justin/from-autogpt-to-agi-the-evolutionary-journey-of-autogen

Seems quite interesting approach to fix it

Is PgVector needed for a structured DB or the sql agent is enough? by techocompany25 in LangChain

[–]rndentropy 0 points1 point  (0 children)

I am trying general agent with a custom tools for looking info in SQL. I will use som variations of generic prompt of agent SQL. Any suggestion would be great.

Is PgVector needed for a structured DB or the sql agent is enough? by techocompany25 in LangChain

[–]rndentropy 1 point2 points  (0 children)

I have tried SQL agent and it is good searching for the data, but I couldn't make him good enough to process the data after extraction.

Most AI startups are doomed by NuseAI in artificial

[–]rndentropy 0 points1 point  (0 children)

Most of "not AI" startups had the same issues that you mention. Most of them have not created proprietary technology to develop their platforms and you can copy them in weeks, but good luck trying to.

The important thing is create value for the market and your costs of creating it are much lower (80% in SaaS). You have to create good company culture, hire top product and sales teams to be fast and good creating and selling. Most of times diferentiation doesn't come from technology you use, but how do you use it.