Jakub Bartczuk lambdaofgod

List of topics

Intro

basic examples - polynomials, $\mathbb{R}^n$ et c
basis
independence

Matrices and linear systems

row space, column space

import transformers
from sentence_transformers import SentenceTransformer


checked_symptoms = ["ból dupy", "jebie mnie w krzyżu"]
reference_symptoms = [["ból lędźwi"], ["ból gardła", "ból dupy"]]

model = SentenceTransformer('sdadas/st-polish-paraphrase-from-distilroberta')
checked_embeddings = model.encode(checked_symptoms)

from llm_rs import AutoModel
 
#Load the model, define any model you like from the list above as the `model_file`
model = AutoModel.from_pretrained("rustformers/mpt-7b-ggml",model_file="mpt-7b-q4_0-ggjt.bin")

openassistant/pythia

pythia-6.9b

import transformers
import torch

	class MultiFileSummary(dspy.Signature):
	context = dspy.InputField(desc="Python code")
	question = dspy.InputField()
	answer = dspy.OutputField(desc="Summary of the code given guiding question")


	class RepoSummary(dspy.Signature):
	context = dspy.InputField(desc="Python file summaries")
	question = dspy.InputField()
	answer = dspy.OutputField(desc="Repository summary")

	# https://github.com/exercism/cli/issues/718#issuecomment-1493221436

	#!/usr/bin/env bash

	set -e
	set -u

	export track="$1"

	curl \

	version: "3.8"

	services:
	# Use `docker compose --profile backend-dev up --build --attach-dependencies` to start a database and work and the backend.

	# Use `docker compose --profile frontend-dev up --build --attach-dependencies` to start the services needed to work on the frontend. If you want to also run the inference, add a second `--profile inference` argument.

	# The profile ci is used by CI automations. (i.e E2E testing)

	# This DB is for the FastAPI Backend.

	;; USING CHATGPT IN ORG MODE
	;; how-to
	;; relevant mlutil file - https://github.com/lambdaofgod/mlutil/blob/master/mlutil/chatgpt_api.py
	;; - install mlutil (or copy relevant file somewhere so you can import it easily)
	;; - M-x initialize-chatgpt-code-block
	;; - M-x insert-chatgpt-response-code-block
	;; - C-c C-c - you get the response

	;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
	;; babel code blocks in org mode

	# tmux utils
	tmux_jupyter() {
	cd ~/Projects
	tmux new -d -s jupyter
	tmux send-keys -t jupyter "jupyter-notebook" Enter
	tmux a -t jupyter
	}