Видео

Very good, what model has been better for you to call tools or calling function? What cheap motherboard do you recommend for 2 RTX 3090 GPUs? Regards

points: 1. when shooting frigs with medium guns, keep traversal down, easiest way to do that is Keep at range (especially since some of the frigs are not evening bothering to orbit) 2. not swapping ammo when you should, like firing null on the incurses, 3. why did you fick on the ADC 4. you have warp scrambler and web which actually provides you range control on alot of these frigs. 5. The ishtar has both velocity and tracking bonuses on its drones, medium drones are viable on most frigate targets especially those you've tackled because of this. 6. Navy drones are advised over t2 drones if you expect to fight frig and destroyer gangs often, navy drones have over twice the health and have even stronger tracking with only a marginal decrease in dps. With Heavies your navy drones are genuinely incredibly difficult to defang.

Can you recommend me a motherboard that supports 2 RTX 3090? Is SLI necessary? Regards

this mouse clicking .....

Play to your ship strengths. Ditch the guns and go for more speed and more range on your drones.

GF! It took us so long to take you down that the pilots you blapped could go find ship on local contracts and come back. If your mods hadn't burned out, it might have been a different fight! A couple of small suggestions if you are mainly wanting to plex fight. It really hurts having to use 3 fitting mods to wedge in unbonused blasters, and if something kitey gets away from you the blasters wont hit anyway and you are unlikely to catch up, so I would lean more into the tank and drone damage (also, I know they look good on paper, but gallente drones really do have terrible tracking). If you really love blasters with some drones, I would highly recommend the Vexor Navy Issue....it can do everything your current fit was rocking with more damage and ehp. Maybe something like this. You can swap the 2nd DDA for a reactive hardener or to plug more of a hole. Good hunting! [Ishtar, Party On, Garth] 1600mm Rolled Tungsten Compact Plates Assault Damage Control II Drone Damage Amplifier II Multispectrum Energized Membrane II Medium Ancillary Armor Repairer, Nanite Repair Paste Drone Damage Amplifier II 10MN Afterburner II Shadow Serpentis Stasis Webifier Shadow Serpentis Warp Scrambler Omnidirectional Tracking Link II Heavy Electron Blaster II Heavy Electron Blaster II Heavy Electron Blaster II Small Energy Neutralizer II Medium Explosive Armor Reinforcer II Medium Trimark Armor Pump II Acolyte II x5 Warrior II x5 Warrior II x5 Infiltrator II x5 Vespa II x5 Praetor II x5 Vespa EC-600 x5 Null M x1000 Void M x1000 Federation Navy Antimatter Charge L x1000 Optimal Range Script x1 Tracking Speed Script x1

you were 11 KM from him im was screeming OVERHEAT THE SCRAM..... WERY BAD PLAY......

Awesome brawl! On that first fight you had Navy 800 boosters instead of 400s, which don't fit. You did regen some cap near the end of the first fight that you could have used to get two more rep cycles in. Against the TFI, your ship's tank just isn't built to fight the pure damage of a straight up brawl faction destroyer. You'd need to hold range at the start and hit him with null, maybe even forcing him to reload Barrage S. Thanks for getting out there and shooting dudes, hope to see you in space! Edit: Try to put the nosferatu in the very middle of your gun rack. It will do a little to reduce the heat damage of the guns by funneling it into that nos. You might get another heated cycle or two in, which could make the difference in fights like the one with that Comet!

I am wondering about a nano pump rig...extra repping strength and the inherent CNI bonus may help with cap management.

Nice video!

gf

HONK!

gf mate

Its good you got it executing code. Couldnt you limit the what type of codes executable by removing certain libraries from python in that environment?

would love to see the settings you used to add llama3 to autogen studio, really having a hard time adding it in..

Hi, I think all llama3 models come with their own embedding model/technique (llm2vec) which can also be used for setting up RAG. Do u see nomic's embedder outperform it significantly, or it's still better to use the inherent llm2vec for text embedding?

Hello, I don't speak English, but could you help me how I can connect with llm studio through langchain, but instead of Python I would like to do it with typescrib :D.

video no sound its maybe afraid microphone

did you upload the .py files anywhere? i'd like to try the same, with nomic + phi3mini

Is it necessary to use the call you use?

Very interested but your video covers the file you're replacing. I did give it a shot but unable to find what you're doing. You don't call it out in the transcript....you just say this line right here but it's covered by your video window. Hope you toss out an update.

We can't see the code you're speaking to because it's behind you.

Could you provide a short tutorial on how to set this up on a Windows based system please? I have a fork of Open Interpreter, and the latest version of LM Studio as well. I just lack the knowledge on how to setup these environments to work together.

Genuine question because I have absolutely no idea what I'm doing: I've downloaded LM Studio. I downloaded LLama2 13B Chat. I have a very large document (300.000 words) that I would like to use this RAG for. What do I do now, exactly? Like you linked the github, but what do I do with it? Do I just copy-paste the script to somewhere? To where?

4k? how

Great Job man! This cleared alot of my doubts regarding this topic. how can we use this in case of ollama? I want my document to be excel , so i used pandas for it, but it eventually gave me alot of errors. can you take input as an excel file ?

why the model is showing as gpt-3.5 turbo in the logs?

i want to know that ,when i was running the commend with guidance by github： interpreter --local，then has auto to download the model Instead of my local LM Studio（i had activated the local sever），and i want know how to fix it to connect to my llm stuidio

Hey man, appreciate you sharing this. Quick question; If I enter the prompts not in the command line but in LMStudio, the RAG-Pipeline will not be used, correct? Is there a way to write the prompts in LMStudio using this RAG-Pipeline or would I need to build my own UI (like a Web-UI or a small custom application) if I wanted to write prompts in a bit more user-friendly way?

This is EXATLY what I wanna do! For my furisitc linux machine I wanna install whsiper and have a wake word and intergrate it with open interpter using LLMstudio locally and I could get it to do basic things like turn a timer on, open an app etc... This is extrmeely complicted to get what I said up and running but one day ill figure it out have it up and running. Also yeah the video is crappy it says it's HD but doesn't look like it and audio is very quite I tured the volume on my headset to max, the youtube volume to max as well and I can barely hear you.

What is the max word count of context you can add?

how do we make it work ? I have lm studio, trying to do something similar to use my obsidan notes as reference for the llm.

Hello beyond the binary, please can you create another one just like this for CSV files?

Looks great, let us know when you can post the links, would love to give it a test. Out of curiosity, have you tested how much text you can give it as input?

Bro, try neural beagle 7 or 13B, highest quant possible. Thank me later.

yeah, i've been enjoying OI myself. haven't run it with mistral +llmstuxdio, going tofire those up right now.. yes it wa looking good therE. NICE WELL DONE

I tried a dozen models the other day. Not many are smart enough to work with open interpreter. The best ones are the models trained on logic, and Python code. OpenHermes did okey and Everyone coder. Over all the best experience I had with it was using GPT4 API but the costs add up quickly.

People face issues when using with local models. Can you make kind of Tut for the configs, changes, line by line, and issues one might face while using local llm using lmstudio. I tried using Gpt pilot with local llm , but then the issue was LMstudio not sending and receiving right set of API parameters , at least that was told to me by GPt pilot dev. Sounded like bunch of BS. I see your are using mistral, not everyone will be using mistral. Can you try with random LLMs may be which are not even code oriented and see If open interpretor works or not. Many will like to know exact steps line by line. If you do make following video , then reply to my this message by mentioning uploaded next video or something in text.

unlimited fuel?

Really cool craft. Video is a bit low res, but a timelapse of your next build would be great. Very cool

This was really fun to watch, subed

amigo,super~you made wwell video-work. 👐

Also now I’ll hear all your posts in your voice instead of Morgan freeman’s

Let’s see it working!!

Looks like you are having fun 😊

WOW! 2017 and you still don't add commentary or at least subtitles? Get with the time's man!

Hi! Nice video you got there. I think the game sound is a bit low and the fast-forwarding music is too high. Could you check on that? Keep making videos!

F - RIP brave Vexor

Not sure why the svipul didn't just jump there. Good job for taking the fight and applying pressure!

Nice, fit?