lambdaofgod

List of topics

Intro

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

Matrices and linear systems

• row space, column space

lambdaofgod

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")

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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)

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

#!/usr/bin/env bash

set -e
set -u

export track="$1"

curl \

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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")

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openassistant/pythia

pythia-6.9b

import transformers
import torch

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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.

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from <project_name>.d import function

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;; 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

lambdaofgod

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