Generative #AI and #ChatGPT are transforming #marketing, but where do you start? Check out this excellent ChatGPT 'Cheat Sheet' by Max Rascher! It's packed with tools, prompts, tips, roles, and strategies to help you use ChatGPT more effectively. #generativeAI
@ingliguori
PROMPT ENGINEERING
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ChatGPT Transforms Marketing: Complete Guide and Practical Tips
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Top ML Papers: Ring Attention, LLMs Rules Learning, Healthcare
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Top ML Papers of the Week (Oct 9 – Oct 15): – Instruct-Retro
– Ring Attention
– LLMs can Learn Rules
– A Survey of LLMs for Healthcare
– Meta Chain-of-Thought Prompting
– Toward Language Agent Fine-tuning
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1/ Ring Attention – a memory-efficient approach that leverages -
Key Strategies for Improving AI Model Accuracy and Performance
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Key strategies include high-quality, diverse data, proper prompt engineering, and using Retrieval Augmented Generation or Deep Memory for accurate topic information.
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AI-Written Code: Authenticity Over Origin Concerns
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Having the code written by an AI known to its users to be AI is not the concern here; this isn't a labor thing or a mystical contamination, it's "Are these words I'm reading right now written by a human."
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Python ML Engineering tutorials on LLMs and AI
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That's a wrap! If you interested in: – Python – ML/MLOps – CV/NLP – LLMs – AI Engineering Find me → @akshay_pachaar Subscribe to my Newsletter→ https://
mlspring.beehiiv.com/subscribe Everyday, I share tutorials on above topics! Cheers! -
Understanding Precision and Recall in Machine Learning
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If you already understand the concepts of precision and recall, feel free to skip to the next tweet. But if not, don't worry—I've got you covered! You can check my previous post on understanding precision & recall
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Chat LangChain: Query AI/ML Libraries Beyond ChatGPT Training Data
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Leveraging #ChatGPT to query recent #AI/#ML libraries such as LangChain is a challenge since ChatGPT's last training cut-off was in January 2022. Worry not! Check out `Chat LangChain`, a chatbot from @langchain to interact with the LangChain docs! https://
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10 ChatGPT Projects to Boost Data Science Workflows
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10 ChatGPT Projects Cheat Sheet: KDnuggets' latest cheat sheet covers 10 curated hands-on projects to boost data science workflows with ChatGPT across ML, NLP, and full stack dev, including links to full project details. https://
kdnuggets.com/10-chatgpt-pro
jects-cheat-sheet?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=10-chatgpt-projects-cheat-sheet
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Advanced AI Learning Path: Image Generation to Transformer Models
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5 Introduction to Image Generation https://
cloudskillsboost.google/course_templat
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… 6 Encoder-Decoder Architecture https://
cloudskillsboost.google/course_templat
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… 7 Attention Mechanism https://
cloudskillsboost.google/course_templat
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… 8 Transformer Models and BERT Model https://
cloudskillsboost.google/course_templat
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… 9 Create Image Captioning Models https://
cloudskillsboost.google/course_templat
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Comprehensive Guide to Large Language Models Technical Details
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Large Language Models (in 2023) Excellent talk on LLMs that highlights important technical details related to LLMs in <50 minutes. From scaling, pre-training to post-training techniques such as instruction tuning and reward modelling. This is a recommended watch for everyone