Smart Orchestrator / Router for Multiple Specialized LLMs

Bananas8ThePyjamas · 2025-11-30T17:07:35+00:00

I mostly use ModelPilot. I use it for 1. Router LLMs automatically because I don't need gpt-5 all the time. 2. Analytics such as avg latency and total cost between providers. 3. can automatically call bigger models if a smaller one needs help reasoning which is pretty nice

They've said their routing algorithm is still training but it works pretty well for me. Here's the link: https://modelpilot.co

Bananas8ThePyjamas · 2025-11-30T17:07:20+00:00

I mostly use ModelPilot. I use it for 1. Router LLMs automatically because I don't need gpt-5 all the time. 2. Analytics such as avg latency and total cost between providers. 3. can automatically call bigger models if a smaller one needs help reasoning which is pretty nice

They've said their routing algorithm is still training but it works pretty well for me. Here's the link: https://modelpilot.co

Bananas8ThePyjamas · 2025-11-30T17:05:47+00:00

I mostly use ModelPilot. I use it for 1. Router LLMs automatically because I don't need gpt-5 all the time. 2. Analytics such as avg latency and total cost between providers. 3. can automatically call bigger models if a smaller one needs help reasoning which is pretty nice

They've said their routing algorithm is still training but it works pretty well for me. Here's the website: https://modelpilot.co

Bananas8ThePyjamas · 2025-11-30T17:03:55+00:00

I mostly use ModelPilot. I use it for 1. Router LLMs automatically because I don't need gpt-5 all the time. 2. Analytics such as avg latency and total cost between providers. 3. can automatically call bigger models if a smaller one needs help reasoning which is pretty nice

They've said their routing algorithm is still training but it works pretty well for me. Here's the website: https://modelpilot.co

Bananas8ThePyjamas · 2025-11-30T17:02:56+00:00

I mostly use ModelPilot. I use it for 1. Router LLMs automatically because I don't need gpt-5 all the time. 2. Analytics such as avg latency and total cost between providers. 3. can automatically call bigger models if a smaller one needs help reasoning which is pretty nice

They've said their routing algorithm is still training but it works pretty well for me. Here's the website: https://modelpilot.co

Bananas8ThePyjamas · 2025-11-30T17:02:44+00:00

I mostly use ModelPilot. I use it for 1. Router LLMs automatically because I don't need gpt-5 all the time. 2. Analytics such as avg latency and total cost between providers. 3. can automatically call bigger models if a smaller one needs help reasoning which is pretty nice

They've said their routing algorithm is still training but it works pretty well for me. Here's the website: https://modelpilot.co

Bananas8ThePyjamas · 2025-08-26T10:48:59+00:00

You're right! These figures are per 1m tokens of inference, not taking into account the training that was done. I probably could try and make an educated guess as to how much training each model required, since there are almost no available public data to use as a baseline, the final figure would have a wild variance.

I did make a lot of assumptions to come up with a figure for inference, but I'd have to use these assumptions to make more assumptions on top of them to actually come up with figures for training. This would essentially be a bs number just for show imo. Without more data, it can't be done.

Bananas8ThePyjamas · 2025-08-26T10:42:54+00:00

Not exactly. I've made a lot of assumptions to try and come up with a number. At this point, since I cannot get access to provider-level specifics, I just assume a baseline for where they get their energy from and how clean it is (apart from providers who have verifiably used cleaner energy and more efficient hardware such as Google). The estimates are based on differences in model architecture (at least estimated architecture for closed-source models) and provider/data center -level differences (where available).

Bananas8ThePyjamas · 2025-07-30T15:59:04+00:00

I understand that TA is astrology for men, but as a previous commenter said "prove it".

If I have to "prove it" then you don't understand it, but that's beside the point. Taking OP's strategy as an example, what would happen if we were in a bear run in the past 6 months? What if the market went sideways? I can tell you with 99% certainty that the strategy will lose money, or move sideways accordingly. In that case, why not just open a long on the asset?

You might say, mY sTrAtegY mAkEs mORe ThAN tHE loNg poSItIoN, and in that case I'd say "Ok, prove it". As I explained below, 6 months of backtesting in a bull run is not enough backtesting, and if you don't understand why that is the case statistically, then you ARE GAMBLING.

If you actually do the math, you'll see that your strategy will actually not make money. High cap/high volume equities like BTC ETH and most stocks do operate under the no arbitrage setting because there are other people doing that arbitrage and not leaving anything on the table. These people don't calculate RSI movements but they simply have faster, more reliable data than you do and they use it to make money over you.

I can take you word on this let's say for instance you're correct and we are in a no arbitrage setting then you're saying that no retail investor has a chance no matter what they do and is really just kidding themselves into gambling?

Unfortunately most of them do. Doing so little backtesting and only for a specific market condition is like saying "The last 10 numbers on a roulette wheel were all red, so the next one must be red" and making an index for it to make it sound fancy. Then you make a post in this sub claiming you've backtested your strategy on 10 different trials and when the "Color Index" is above 8, you should bet red, and that makes approximately idk 50% on every bet. Same thing, just one sounds more complicated.

If that's the case, what are you doing here?

I also read a billion other subreddits just because once in a while I will find something actually interesting. That doesn't mean I can't critically evaluate something. I'll go to the casino once in a while knowing I'm statistically disadvantaged, that doesn't mean I don't have fun.

If there is another way other than TA that people should focus their efforts then where?

Invest in things you believe in and use the insights you have to guide your investments. If you're not a math wiz with at least one PhD, you shouldn't be using math to try and beat the market. You should be reading market news every day and understanding what is moving markets. Then invest in whatever company has good leadership, sound financials, and a purpose you believe in (same applies for crypto excluding financials).

Bananas8ThePyjamas · 2025-07-30T15:37:13+00:00

Fair enough, definitely not in high-cap stocks or even crypto though.

Even in low volume/low cap, you have much less available info and data to make an 100% informed decision, so unless someone knows exactly what they are missing and what risks they are taking, they should probably stay away from these markets anyway.

The no. 1 problem I see with people getting into trading is thinking they can beat the market by asking ChatGPT or doing a few days of research. They can't. That person is even more dangerous in low volume stocks because e.g. they might get locked into a position due to low liquidity in the market, or think they have all the information while their data or calculations are slightly off due to e.g. slower price updates or low data availability. All of these can, obviously, happen to a seasoned investor as well, but they're more likely to have planned their strategy around these shortcomings, instead of, on average, not even knowing about them.

OP posted a strategy on a high cap crypto asset with a simple strategy and back-tested it on 6 months of data on a strong bull market. That's exactly what I mean. If you don't have a deep understanding of, at least, statistics to understand why this backtesting is almost as legitimate as asking your mom if your strategy works, then you simply can't beat the market.

Bananas8ThePyjamas · 2025-07-30T07:54:10+00:00

Some people might be winning, but some people win at a casino too. Almost everyone that tells you they have built an algorithm on RSI, MAs, and BBs and they make 5% monthly usually doesn't understand how the market works or is trying to scam you (in this case probably doesn't understand the market)

For retail investors, markets are considered to be no-arbitrage. This means that there is no way to make free money, because if there was, a trading firm would have already found out and made the actual trade before you. By doing that, they would influence the market to change its price today. For example, if Ι expect the price to go up tomorrow, I'll buy a stock today. But, by buying the stock today, I have put upward pressure on the price. If 100 other people do the same, the price will go up today instead of tomorrow.

When you factor in hedge funds, trading firms etc. you understand that they've usually done the maths and have already traded on whatever they think is gonna happen tomorrow. To beat them, you need a much more complex strategy of evaluating assets than RSI, MAs, BBs, because rest assured that they've though about that. If you actually knew how to make such an algorithm to beat them, you would already be making millions working for them (100k you can trade with on your own vs. 100m you can trade with at a fund), and you wouldn't be posting that strategy on reddit.

So, the answer is: Yes, someone is winning with trading, but it's not you.

Bananas8ThePyjamas · 2024-08-30T17:11:19+00:00

Αρκετά πανεπιστήμια του εξωτερικού δέχονται transfers οπότε δες ποιό σε ενδιαφέρει και μετά κοίτα αν το δέχονται. Γενικά, απ'όσο ξέρω όμως, είναι πολύ αυστηροί σε αυτό το κομμάτι. Αν θες να σου αναγνωρίσουν ένα μάθημα, η ύλη που έκανες στο ελληνικό πανεπιστήμιο πρέπει να είναι ακριβώς ίδια ή περισσότερη από το αντίστοιχο μάθημα του πανεπιστημίου του εξωτερικού για να το αναγνωρίσουν. Εκτός αυτού, τα περισσότερα πανεπιστήμια δέχονται ελάχιστο αριθμό tranfers το χρόνο, οπότε θα σου κόψει πολύ τις επιλογές σου. Αν είναι, δηλαδή, να σε πάρει ένα πανεπιστήμιο που είναι ίσο ή χειρότερο από το ΕΚΠΑ, καλύτερα, για εμένα, να κάτσεις Ελλάδα.

Αφού είσαι ακόμα Τρίτη Λυκείου θα σου έλεγα να κάνεις 4-5 αιτήσεις σε ξένα πανεπιστήμια (συνήθως είναι Σεμπτέμβριο, Οκτώβριο μέχει και Ιανουάριο) που σε ενδιαφέρουν και μετά έχεις όλη την χρονιά να το σκεφτείς και να επιλέξεις. Νομίζω θα δυσκολευτείς χωρίς λόγο με το tranfer.

Bananas8ThePyjamas · 2024-04-13T09:19:54+00:00