readyai_intern

ReadyAI is excited to be partnering with a division of Ipsos, a large global publicly traded market research firm, to process thousands of surveys with intelligent automation: enhancing the speed, accuracy, and depth of market research by automating tagging and categorization, streamlining manual review, and enabling agentic AI insights at scale Structured data is critical for the ~$150 billion market research industry to drive key insights for their customers across multivariate data. ReadyAI’s structured data platform allows these companies to perform the necessary data tagging and categorization more accurately than their current human intensive process and receive results immediately. The subnet enables this tagging for a fraction of the cost as well. With the latest subnet upgrade last week with custom tasks we have a far more flexible platform for custom tagging jobs that are required for large enterprises

We are currently insuring the wallet signing for the new token-gated TAO Agent chat is secure in light of the NPM issue below. Plan to launch the chat once we confirm no issues likely in 1-2 days Sorry for the delay and excited to get TAO Agent 2.0 in everyone's hands ASAP

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ReadyAI exceeding MTurk benchmarks by 71% Improving model performance over 75% since launch Just getting started over here 🫡

Excited to co-host this with some of our favorite builders and investors in $TAO @opentensor Come join us for a great discussion on all things Bittensor 🫡 @afterparty @ReadyAI_ @jasminervaa @TensorplexLabs @_kaitoai @myshell_ai @inference_labs @404gen_

Fine-tuning models? Here's what you need to know: 1. Data is the most important factor, not the model itself. Focus on thoroughly preparing and testing your data. 2. Avoid vendor lock-in. Ensure you can always export the model weights to something like huggingface 3. Start with fine-tuning a GPT-4 model to get comfortable with the process. 4. Measure success easily by using well-defined success metrics and make trade offs on performance 5. Don't obsess over tools. The key is data quality and thorough evaluation. 6. Ask yourself these questions: - How do I export the data? - How do I measure improvement? - Is the performance boost worth the cost? Remember: In fine-tuning, the data is the primary focus. The model is merely a constraint.

The Structured Data Pipeline @ConversationGen creates Super AIs AI Models with: - 99.9% Factual Accuracy - Consistency in tone and personality of the company & its founders We are bringing the power of Super AIs to all Bittensor subnets soon 👀 Try the Super AI for SN33 now 👇 conversations.xyz/p/sn33_sup… $TAO @opentensor

is @chamath $tao pilled? #chat with #superdave to find out 💯 @ConversationGen

What if you could make a 'Super' version of yourself? ​ ⌛ On 24/7 🌐 All of the information you want to share with the world 💼 About you or your business. ​ Just launched one of me for @ConversationGen ​ 🤖: conversations.xyz/p/sn33_sup… ​ The power of SN33’s structured data...how it works 👇 ​ SN33 provides a cost-efficient pipeline for the “digital commodity” of structured data, the key ingredient for high quality, fine-tuned models and RAG solutions. ​ Validators have the ability to process any conversational or transcript data through SN33 and get valuable structured & vectorized data to use for fine tuning AI models and RAG databases. Structured data is the key ingredient to making conversational models more life-like and accurate. ​ We continue to focus on developing the best enterprise grade applications on top of SN33 data to showcase structured data’s value and enable the selling of this digital commodity through our soon-to-be-completed frontend for validators. ​ Launching Our First “Super AI” Utilizing SN33 Data ​ Up-to-date information about SN33 at your fingertips instantly. You will immediately notice the difference in accuracy and completeness of the information vs. other RAG solutions. ​ FOR MINERS: you can walk through all your initial questions to get up and running with a Runpod instance, and get help with common errors (see video demo as well) FOR VALIDATORS: you can ask about the validation mechanism and the latest details on the SN33 roadmap. FOR NEWBIES: you have an easy place to start and get all your questions answered. ​ We are planning to launch more of these Super AIs for the Bittensor ecosystem more broadly and make available this data pipeline for other companies and applications to deliver accurate and up-to-date information in the voice of a trusted leader like a founder, creator or senior executive that makes the experience feel super human. ​ If you are interested in one for your business DMs are open 🚀

Bittensor Guru Validator root network subnet weights as of 6/29/24. Accompanying pod incoming. 🧙‍♂️ $TAO