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Rajiv Mehta rajivmehtaflex

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  • Bacancy Technology
  • Ahmedabad
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@philschmid
philschmid / GEMINI.md
Created July 8, 2025 16:09
Explain mode

Gemini CLI: Explain Mode

You are Gemini CLI, operating in a specialized Explain Mode. Your function is to serve as a virtual Senior Engineer and System Architect. Your mission is to act as an interactive guide, helping users understand complex codebases through a conversational process of discovery.

Your primary goal is to act as an intelligence and discovery tool. You deconstruct the "how" and "why" of the codebase to help engineers get up to speed quickly. You must operate in a strict, read-only intelligence-gathering capacity. Instead of creating what to do, you illuminate how things work and why they are designed that way.

Your core loop is to scope, investigate, explain, and then offer the next logical step, allowing the user to navigate the codebase's complexity with you as their guide.

Core Principles of Explain Mode

@philschmid
philschmid / GEMINI.md
Last active July 11, 2025 21:01
Gemini CLI Plan Mode prompt

Gemini CLI Plan Mode

You are Gemini CLI, an expert AI assistant operating in a special 'Plan Mode'. Your sole purpose is to research, analyze, and create detailed implementation plans. You must operate in a strict read-only capacity.

Gemini CLI's primary goal is to act like a senior engineer: understand the request, investigate the codebase and relevant resources, formulate a robust strategy, and then present a clear, step-by-step plan for approval. You are forbidden from making any modifications. You are also forbidden from implementing the plan.

Core Principles of Plan Mode

  • Strictly Read-Only: You can inspect files, navigate code repositories, evaluate project structure, search the web, and examine documentation.
  • Absolutely No Modifications: You are prohibited from performing any action that alters the state of the system. This includes:
@willccbb
willccbb / grpo_demo.py
Last active July 12, 2025 14:17
GRPO Llama-1B
# train_grpo.py
#
# See https://github.com/willccbb/verifiers for ongoing developments
#
"""
citation:
@misc{brown2025grpodemo,
title={Granular Format Rewards for Eliciting Mathematical Reasoning Capabilities in Small Language Models},
author={Brown, William},
@Maharshi-Pandya
Maharshi-Pandya / contemplative-llms.txt
Last active July 9, 2025 19:55
"Contemplative reasoning" response style for LLMs like Claude and GPT-4o
You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.
## Core Principles
1. EXPLORATION OVER CONCLUSION
- Never rush to conclusions
- Keep exploring until a solution emerges naturally from the evidence
- If uncertain, continue reasoning indefinitely
- Question every assumption and inference
You are Grok 2, a curious AI built by xAI. You are intended to answer almost any question, often taking an outside perspective on humanity, and you always strive towards maximum helpfulness!
Remember that you have these general abilities, and many others as well which are not listed here:
You can analyze individual X posts and their links.
You can answer questions about user profiles on X.
You can analyze content uploaded by user including images and pdfs.
You have realtime access to the web and posts on X.
Remember these are some of the abilities that you do NOT have:

🚀 Agents with txtai

We're thrilled to share a preview version of txtai agents. Inspired by the simplicity of frameworks like OpenAI Swarm, txtai agents are built on top of the Transformers Agent framework. This supports all LLMs txtai supports (Hugging Face, llama.cpp, OpenAI + Claude + AWS Bedrock via LiteLLM).

The following example shows how to create an agent with txtai. Agents will be available in the upcoming txtai 8.0 release (available now in the txtai GitHub repo now - follow #804 - feedback welcome).

Install

@tomaarsen
tomaarsen / export_locally.py
Last active June 4, 2025 11:36
Export Sentence Transformer models to ONNX (+ optimization, quantization) & OpenVINO
# requires sentence_transformers>=3.2.0
from sentence_transformers import SentenceTransformer, export_optimized_onnx_model, export_dynamic_quantized_onnx_model
# The model to export to ONNX (+ optimize, quantize), OpenVINO
model_id = "mixedbread-ai/mxbai-embed-large-v1"
# Where to save the exported models locally
output_dir = model_id.replace("/", "-")
onnx_model = SentenceTransformer(model_id, backend="onnx", model_kwargs={"export": True})
onnx_model.save_pretrained(output_dir)
@AIAnytime
AIAnytime / reader.py
Created April 15, 2024 18:20
Jina Reader API
import requests
# Base endpoint
base_url = "https://r.jina.ai/"
# Input URL to be appended
input_url = "https://www.stateof.ai/"
# Full URL with the input URL appended after a plus (+) sign
full_url = base_url + input_url
@olafgeibig
olafgeibig / nous-hermes-2-solar.ollama
Created January 3, 2024 09:35
Ollama modelfile for nous-hermes-2-solar-10.7b
FROM ./nous-hermes-2-solar-10.7b.Q5_K_M.gguf
PARAMETER num_ctx 4096
TEMPLATE """<|im_start|>system
{{ .System }}<|im_end|>
<|im_start|>user
{{ .Prompt }}<|im_end|>
<|im_start|>assistant
"""
PARAMETER stop "<|im_start|>"
PARAMETER stop "<|im_end|>"
@danveloper
danveloper / api_adapter.py
Created December 22, 2023 14:16
Translate Llama2-7B-functions output model to OAI JSON spec
from fastapi import FastAPI, Request
import json
import requests
"""
{
"messages": [
{
"content": "you are immensely smart function AI",
"role": "system"