Question 1

What is GPU-free AI training?

Accepted Answer

GPU-free AI training is Toxo's revolutionary approach that allows you to train domain-specific AI assistants on API-based LLMs without requiring expensive GPU hardware or modifying model weights. This reduces costs by 1000x compared to traditional training methods.

Question 2

How to train AI without GPU?

Accepted Answer

Use Toxo's layer-based approach. Download a .toxo file containing 15,360 soft prompt parameters, integrate it with 3 lines of code, and your AI becomes domain-expert without GPU hardware or model weight modification.

Question 3

How to install Toxo?

Accepted Answer

Install Toxo using pip: 'pip install toxo'. Then load your .toxo file with 'layer = ToxoLayer.load("file.toxo")' and setup your API key with 'layer.setup_api_key("your_key")'.

Question 4

How does Toxo work?

Accepted Answer

Toxo creates intelligent layers on top of existing LLMs using soft prompt training. You download a .toxo file, integrate it with just 3 lines of code, and your AI model becomes a domain expert without touching the underlying weights.

Question 5

Can I train AI without modifying weights?

Accepted Answer

Yes! Toxo's layer-based approach trains on top of existing models without modifying their core weights. This preserves the base model's capabilities while adding specialized knowledge, making it portable and safe.

Question 6

What is the cost of Toxo AI training?

Accepted Answer

Toxo costs only ₹270 for a .toxo training layer file. This is 1000x cheaper than traditional GPU-based AI training which can cost thousands of dollars in infrastructure and compute time.

Question 7

Who is Mohit Anand?

Accepted Answer

Mohit Anand is the founder of Toxo AI who solved the 'impossible problem' of training black-box LLMs. He pioneered the revolutionary layer-based AI training approach that eliminates GPU requirements.

Question 8

What is API-based AI training?

Accepted Answer

API-based AI training uses only the API interface of LLM providers (like Gemini, GPT-4) to train custom behaviors without access to model weights. Toxo makes this possible through soft prompt layers.

Question 9

How long does training take?

Accepted Answer

Training a Toxo layer takes minutes to hours depending on complexity, compared to days or weeks for traditional fine-tuning. The .toxo file is immediately usable once generated.

Question 10

What programming languages are supported?

Accepted Answer

Toxo supports Python natively and can be integrated with any language that can make HTTP requests. Official SDKs are available for Python, with JavaScript/TypeScript support coming soon.

Question 11

What is a .toxo file?

Accepted Answer

A .toxo file is a Context Augmented Language Model (CALM) layer containing 15,360 soft prompt parameters. It transforms any LLM into a domain expert without modifying the base model's weights.

Question 12

Which AI models work with Toxo?

Accepted Answer

Toxo works with any API-based LLM including OpenAI GPT-4, Google Gemini, Anthropic Claude, and local models. It's provider-agnostic and doesn't require model-specific training.

Question 13

What is CALM technology?

Accepted Answer

CALM (Context Augmented Language Model) is Toxo's core technology that creates intelligent layers on top of existing LLMs, adding domain expertise without modifying model weights.

Question 14

Do I need machine learning expertise?

Accepted Answer

No! Toxo is designed for developers with basic programming knowledge. You don't need to understand neural networks, backpropagation, or GPU programming. Just 3 lines of code to integrate.

Question 15

What LLM providers are supported?

Accepted Answer

Toxo works with all major API-based LLM providers including Google Gemini, OpenAI GPT-4, Anthropic Claude, and more. The same .toxo layer works across different providers.

Question 16

How large is a .toxo file?

Accepted Answer

A typical .toxo file is only 137 KB, containing 15,360 soft prompt parameters plus hierarchical memory systems, multi-agent state, and RAG processing. This makes it incredibly portable and fast to load, unlike multi-gigabyte model weights.

Question 17

What is a domain-specific AI assistant?

Accepted Answer

A domain-specific AI assistant is an AI model trained to excel in a particular field (like legal, medical, finance) with specialized knowledge and terminology that general AI models lack.

Question 18

Can I create industry-specific AI models?

Accepted Answer

Absolutely! Toxo excels at creating industry-specific models for healthcare, finance, legal, e-commerce, education, and any specialized domain requiring expert knowledge.

Question 19

What are real-world applications of Toxo?

Accepted Answer

Toxo is used for customer support automation, medical diagnosis assistance, legal document analysis, financial advisory, educational tutoring, code review, and more specialized tasks.

Question 20

Can I train AI for my business?

Accepted Answer

Yes! Toxo is perfect for businesses wanting custom AI without massive investment. Train AI on your company data, policies, and knowledge base affordably.

Question 21

How is this different from ChatGPT?

Accepted Answer

ChatGPT is a general AI. Toxo trains specialized layers on top of models like GPT to make them experts in your specific domain, with your custom knowledge and behavior patterns.

Question 22

Is there a free trial?

Accepted Answer

Yes! Download our free sample .toxo file to test the integration and see how it works. No credit card required. Full version is ₹270.

Question 23

What payment methods are accepted?

Accepted Answer

We accept all major payment methods through Razorpay including cards, UPI, net banking, and digital wallets for Indian customers.

Question 24

Is this a one-time payment or subscription?

Accepted Answer

It's a one-time payment of ₹270 for the .toxo file. Once purchased, you own it forever with unlimited usage rights.

Question 25

Can I get a refund?

Accepted Answer

Due to the digital nature of .toxo files, we cannot offer refunds once downloaded. However, try our free sample first to ensure it meets your needs.

Question 26

Do I need to pay for API calls separately?

Accepted Answer

Yes, you'll need your own API keys for LLM providers (Gemini, OpenAI, etc.) and pay for API usage separately. Toxo only charges for the training layer file.

Question 27

How do I integrate Toxo into my application?

Accepted Answer

Integration is just 3 lines of code: import the toxo library, load your .toxo file, and wrap your LLM API calls. Full documentation available at /docs.

Question 28

What are the system requirements?

Accepted Answer

Any system that can run Python 3.7+ or make HTTP requests. No GPU, no special hardware. Works on laptops, servers, even Raspberry Pi.

Question 29

Can I use Toxo in production?

Accepted Answer

Yes! Toxo is production-ready and designed for high-performance, low-latency applications. Many businesses use it in production environments.

Question 30

Is there an API rate limit?

Accepted Answer

Toxo itself has no rate limits. Rate limits depend on your chosen LLM provider (Gemini, OpenAI, etc.). The .toxo layer adds minimal overhead.

Question 31

Can I deploy Toxo on cloud platforms?

Accepted Answer

Yes! Toxo works on AWS, Google Cloud, Azure, Vercel, Railway, and any platform supporting Python or HTTP requests.

Question 32

Is my training data secure?

Accepted Answer

Yes! Your data never leaves your environment. Toxo trains locally using your API keys. We never see, store, or access your training data or model outputs.

Question 33

Can I use Toxo with sensitive data?

Accepted Answer

Absolutely. Since everything runs in your environment with your API keys, you maintain complete control and data sovereignty. Perfect for healthcare, legal, and financial use cases.

Question 34

Are .toxo files encrypted?

Accepted Answer

The .toxo file format uses secure serialization. Your training data is not stored in the file - only learned parameter adjustments.

Question 35

Is Toxo GDPR compliant?

Accepted Answer

Since you control all data and processing, Toxo enables GDPR-compliant AI deployments. No data is sent to Toxo servers.

Question 36

How much does Toxo slow down inference?

Accepted Answer

Toxo adds less than 10ms latency per request. The soft prompt layer is incredibly lightweight with only 15,360 parameters (120 KB) that convert to textual guidance before each API call.

Question 37

Can Toxo handle high traffic?

Accepted Answer

Yes! The .toxo layer is stateless and scales horizontally. Deploy across multiple servers without performance degradation.

Question 38

What's the accuracy improvement?

Accepted Answer

Domain-specific tasks see 40-60% accuracy improvement over general models. Results vary by use case and training quality.

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