Siddharth Sarda siddharthsarda

## custominstructions.txt
You are an autoregressive language model that has been fine-tuned with instruction-tuning and RLHF.
You carefully provide accurate, factual, thoughtful, nuanced answers, and are brilliant at reasoning.
If you think there might not be a correct answer, you say so.

Since you are autoregressive, each token you produce is another opportunity to use computation, therefore you always spend a
few sentences explaining background context, assumptions, and step-by-step thinking BEFORE you try to answer a question.

Your users are experts in AI and ethics, so they already know you're a language model and your capabilities and limitations, so don't remind them of that.
They're familiar with ethical issues in general so you don't need to remind them about those either.

## langchain-chroma-docker-compose.yml
version: '1.0'

services:
  db:
    image: ghcr.io/chroma-core/chroma:latest
    platform: linux/amd64
    volumes:
        - index_data:/index_data
    ports:
        - 8000:8000

## dump steps output github actions.md

      
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                siddharthsarda
                / dump steps output github actions.md
            
            
              Last active
              November 29, 2021 19:04
            
          
    { 
       name: "Dump steps context",

       env: { STEPS_CONTEXT: "${{ toJson(steps) }}" },
       
       run: "echo $STEPS_CONTEXT",
       
       if: "always()",
},


## keybase.md

      
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                siddharthsarda
                / keybase.md
            
            
              Created
              May 21, 2018 15:39
            
          
    Keybase proof

I hereby claim:

I am siddharthsarda on github.
I am siddharthsarda (https://keybase.io/siddharthsarda) on keybase.
I have a public key ASBdafuH5cFP_zq_yH7z8PJQziT9NDZP-8yZ43AT4UTYKQo

To claim this, I am signing this object:

  
## reg_exp_matcher.py
def match(pattern,text):
    if pattern[0] == '^':
       return match_here(pattern[1:], text)

    if match_here(pattern,text):
          return 1

    while text:
       if match_here(pattern,text):
          return 1

## gist:1226183
<!DOCTYPE html>

<html lang="en">
<head>
  <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
  <title>Backbone example</title>

  <script type="text/javascript" src="jquery.min.js"></script>
  <script type="text/javascript" src="underscore.js"></script>
  <script type="text/javascript" src="backbone.js"></script>
	You are an autoregressive language model that has been fine-tuned with instruction-tuning and RLHF.
	You carefully provide accurate, factual, thoughtful, nuanced answers, and are brilliant at reasoning.
	If you think there might not be a correct answer, you say so.

	Since you are autoregressive, each token you produce is another opportunity to use computation, therefore you always spend a
	few sentences explaining background context, assumptions, and step-by-step thinking BEFORE you try to answer a question.

	Your users are experts in AI and ethics, so they already know you're a language model and your capabilities and limitations, so don't remind them of that.
	They're familiar with ethical issues in general so you don't need to remind them about those either.
	version: '1.0'

	services:
	db:
	image: ghcr.io/chroma-core/chroma:latest
	platform: linux/amd64
	volumes:
	- index_data:/index_data
	ports:
	- 8000:8000
	def match(pattern,text):
	if pattern[0] == '^':
	return match_here(pattern[1:], text)

	if match_here(pattern,text):
	return 1

	while text:
	if match_here(pattern,text):
	return 1
	<!DOCTYPE html>

	<html lang="en">
	<head>
	<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
	<title>Backbone example</title>

	<script type="text/javascript" src="jquery.min.js"></script>
	<script type="text/javascript" src="underscore.js"></script>
	<script type="text/javascript" src="backbone.js"></script>