Spent all weekend orchestrating models across both the 2x Strix Halo 128GB APUs and AMD R9700 32GB VRAM GPUs in my home k8s Compound AI System Homelab.
Can't want to show you the AI / Software side of what I am building.
I hate llm text so much in PRs.
Not only that but raw llm text output direct from llm should not be allowed either esp from big labs (too wordy)
I have an entire prompt I use for this that makes reading the PRs a breeze
Even better on on Laguna and Nemotron models MLMs with their info dense output.
Prompt Something e.i. βInfo dense, no fluff, highly relevent technical details only , use less syllables over long hard to read words (with lots of multi shot examples that annoy me). Highly formatted. β should be tuned to YOUR model
@MichaelGannotti@bot Pretty interesting, would love to see some thing like Nvidia personaplex that sounds like a real human in the near future used .
Either way Iβm dying to know how this is built front to back
Same thought , why Iβm always looking for a fix
Most models 27b and up seem to do OK in most ReAct loops no matter custom , coding harness , research, whatever esp when I just turn off thinking . A few do better imo (not measured yet)
Maybe cause technically a ReAct loop is think - observe - act anyway. A sort of βreasoningβ
Also checkout @sparsetai thinklite-27b. Where the extra training was around taking shortest path in thinking and cut time thinking in half of xhigh reasoning hence much less tokens but no accuracy loss
@Morrowmake Still looking β¦
in the future I believe it will exist but more importantly the evals will go deep into task specific areas and there will be many more of them in the age of compound ai systems and task specific SLM models , agents etc.
@KingBootoshi Interesting agent to have on my home ai system.
Did you build from scratch? Would love to know more about the tools it has access too, have a cve db lookup or something ?
@no_stp_on_snek Notes, notes and more notes. Obsidian notes app is highly underrated for past research esp the markdown codeblocks for click to copy prompts that contain the specs of entire projects for starting new AI research .
@jayleaton between building agentic, inference, and now tuning models its been non-stop, I know what you mean.
Sometimes the brain static fills the void and you gotta take 3 days or playing outside instead.
@satellitedown All the posts are from SF
Check their profiles . They are all SF VC, investors, neoclouds employees , founders / CEOs of AI companies. Their money is on the line.
it is weird , since when has SF told you not to build ? I believe their motives are money now.