Use our AI chat to program our end-to-end ML and LLM Ops platform – execute code – draw plots – analyze dataset – transform data – fine-tune LLMs You talk to the bot, and the AI bot builds ML models and deploys them in production.
PROMPT ENGINEERING
-
Teaching AI Tools for Cold Outreach and Productivity
By
–
We pulled over and I walked him through ChatGPT and Perplexity AI on my phone. I showed him how to write cold emails, how to personalize text to him/his bio/his voice, how to create schedules, how to get the early scoop on the latest trends, how to edit the output.
-

OpenAI’s 6 Tips for Better ChatGPT Results
By
–
[#COMPRENDRE]
#ChatGPT : 6 conseils d’#OpenAI pour obtenir de meilleurs résultats https://
buff.ly/45QMpkL v/ @BlogModerateur Soyez précis et complet, fournissez une phrase référence, fournissez des sous-tâches, laissez-le réfléchir ! #TransfoNum #FlashTweet -

Web-Hooked AI Model Reduces Hallucinations Improves Reality Accuracy
By
–
and TA-DA! some of it is still hallucinated but most of it is at least closer to current reality than a non Web-hooked model
-

Multi-step prompting technique for AI information gathering
By
–
Examples of prompt that blew my mind: Prompt: "List 10 things that happened in AI in 2023" followed with "Put it in a table with links to sources" (hat/tip @AiHandbook for prompt inspiration) You can see the different steps in real time
-

Love for Creative Prompts and Narcissistic AI Interactions
By
–
I love creative prompts. And narcissistic ones. I am selfish that way.
-

Background Prompting for Improved Object Depth Estimation
By
–
Background Prompting for Improved Object Depth paper page: https://
huggingface.co/papers/2306.05
428
… Estimating the depth of objects from a single image is a valuable task for many vision, robotics, and graphics applications. However, current methods often fail to produce accurate depth for -

OpenAI’s 6 Tips for Better ChatGPT Results
By
–
[#COMPRENDRE]
#ChatGPT : 6 conseils d’#OpenAI pour obtenir de meilleurs résultats https://
buff.ly/45QMpkL v/ @BlogModerateur Soyez précis et complet, fournissez une phrase référence, fournissez des sous-tâches, laissez-le réfléchir ! #TransfoNum #FlashTweet -

MIMIC-IT: Multi-Modal In-Context Instruction Tuning for Vision-Language Tasks
By
–
MIMIC-IT: Multi-Modal In-Context Instruction Tuning paper page: https://
huggingface.co/papers/2306.05
425
… High-quality instructions and responses are essential for the zero-shot performance of large language models on interactive natural language tasks. For interactive vision-language tasks -

INSTRUCTEVAL: Holistic Evaluation Framework for Instruction-Tuned LLMs
By
–
INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models paper page: https://
huggingface.co/papers/2306.04
757
… Instruction-tuned large language models have revolutionized natural language processing and have shown great potential in applications such as conversational
