Top 10 open source GPTs

Introduction

The beauty of open source lies in its complexity and its capacity to solve real-world problems. open source isn’t just a subject; it’s a tool that empowers, a skill that enables, and a discipline that challenges.

Flutter GPT by Whitebox 🔗

Flutter made easy. Maintained by Whitebox at https://github.com/Decron/Whitebox-Code-GPT 🔗

Welcome Message

Welcome to Flutter Expert Bot!

Prompt Starters

• Create stateful widget with constructor
• What are the latest Flutter best practices?
• Guide me through Flutter’s state management solutions.
• Create a new page

Worldlaw v1.07 🔗

Open source intelligence (OSINT) monitor with expertise in both international and US law, providing concise, current event-driven geopolitical insights and probabilistic outcome forecasts v1.07

Welcome Message

Welcome! I’m Worldlaw, your AI legal analyst. Ask me about law and geopolitics for clear insights and outcomes.

Prompt Starters

• Predict the outcome of a current U.S. Supreme Court case using OSINT research.
• How might current geopolitical tensions affect global trade?
• Explain the status of a recent UN Security Council resolution.
• What is the latest in geopolitical current events?

Blender Scout 🔗

Blender resources from all across the web. Find Tutorials, Assets, Addons, and More

Welcome Message

Prompt Starters

• Mesh Cleanup
• Geometry Nodes
• Architectural Visualization
• Physics Simulation

LLM Guide 🔗

Formal but friendly LLM technical advisor.

Welcome Message

Hello! I’m here to provide the latest insights on LLMs in a friendly way.

Prompt Starters

• Explain this LLM concept in simple terms.
• Help me understand this LLM configuration.
• I need guidance on LLM tools.
• Can you explain this technical LLM term?

LLM Assisa 🔗

Professional development assistants for OpenAI, Google Gemini, LangChain and HuggingFace

Welcome Message

Prompt Starters

• What is Chain in LangChain.
• Please explain the error:NameError: name ‘model’ is not defined.
• How do I make an API call with OpenAI models.
• Show me a list of OpenAI models.

Linux Consultant 🔗

I am a Linux Enterprise Architect. Here I tried the best to create an LLM helping hand for Ubuntu and RedHat based OS. All with focus on Enterprise Business. Feedback ist welcome … to improve this prompt.

Welcome Message

Prompt Starters

• Write me a Playbook add all hostnames and its IPs to /etc/host for an Ansible Group?
• Can you explain the benefits of using Podman over Docker?
• What are best practices for configuring a network on Ubuntu?
• What’s the difference between RHEL and Rocky Linux?
• How can I protect Ansible Vault Password, I would like to enter it each time I have rebootet Control Node?

Decoder Analyst 🔗

Product benchmarking specialist.

Welcome Message

Hello! Ready to create an insightful product benchmarking table using advanced NLP?

Prompt Starters

• Create a feature benchmarking profile for each product based on key feature mentions in product reviews . Provide specific descriptions, qualitative measures, or ranges that add context to the feature’s presence or quality. The focus is on tangible data over sentiments or complaints. Process: For each ASIN, add a column in the table post-analysis of the given set of reviews. Use “Yes/No” only if it fully represents the feature’s status. Otherwise, replace “Yes/No” with detailed descriptors: example: Weight: Indicate “Lightweight” or “Heavy” if mentioned, or provide the weight range when available. Ventilation: Detail the number of vents or describe the ventilation system’s specifics. Size and Fit: Mention the range of sizes available or describe the type of fit adjustment (e.g., “Adjustable Dial Fit”, “Sizes S-XL”). For features like Design and Price, provide a descriptor if available (e.g., “Aerodynamic Design”, “Under $50”), otherwise, indicate if the feature is mentioned without details or not mentioned at all. Continue this approach for all features .After analyzing each set of reviews, update the table with new product info for the next ASIN.Also ,make sure to add new features if present for every new ASIN you encountered.You do not ask to the user to enter ASIN,instead just take directly from input review’s dataset.Repeat the process for all ASINs provided in the input dataset. Output: The updated table should be returned in a downloadable Excel format, with features as rows and ASINs as columns. The table should allow for a clear feature comparison across products. Goal: To deliver a comprehensive comparison that aids in understanding the key differentiators between products in the market.

Open Source LLM Advisor 🔗

Download and Run Open Source LLMs Locally.

Welcome Message

Welcome to Open Source LLM Advisor!

Prompt Starters

• How do I set up LM Studio?
• Can I run GPT models on LM Studio?
• What are the features of LM Studio?
• How do I use Open Source LLMs locally?

Open Source Benchmark 🔗

Compare open-source softwares

Welcome Message

Prompt Starters

• PyTorch vsTensorFlow
• TiDB vs Vitess
• React vs Vue
• Golang vs Rust-lang

IndieBizGuide 🔗

Easing your startup journey with Atlas Assistant. Simplifying every step for small teams. “R” for ReadMe

Welcome Message

Hello! Let’s navigate your business setup with Stripe Atlas.

Prompt Starters

• What’s the next step in setting up my company?
• cost estimate to start a business?
• cost estimate to dissolve your company?
• How do I use Stripe Atlas to start my business?

Conclusion

From our discussion, it’s evident that open source is a cornerstone of modern innovation. The versatility and power of open source in driving progress can’t be overstated, highlighting the importance of open source in our lives.