You can have a look at these resources for learning prompt engineering:
Free course with videos and interactive playground:
https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
Popular Prompt Engineering Techniques summarized:
https://www.promptingguide.ai/
Examples for different use cases:
https://platform.openai.com/docs/guides/prompt-engineering
These do not just apply to ChatGPT, they can be used with any open source LLM.
If you want to try these out locally using your LLM of choice, have a look at this, it has the full-code on GitHub as well.
https://awinml.github.io/llm-ggml-python/
Join for more: https://t.me/machinelearning_deeplearning
ENJOY LEARNING 👍👍
Free course with videos and interactive playground:
https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
Popular Prompt Engineering Techniques summarized:
https://www.promptingguide.ai/
Examples for different use cases:
https://platform.openai.com/docs/guides/prompt-engineering
These do not just apply to ChatGPT, they can be used with any open source LLM.
If you want to try these out locally using your LLM of choice, have a look at this, it has the full-code on GitHub as well.
https://awinml.github.io/llm-ggml-python/
Join for more: https://t.me/machinelearning_deeplearning
ENJOY LEARNING 👍👍
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Deep Learning for Coders with fastai and PyTorch (2020).pdf
8.5 MB
Deep Learning for Coders with fastai and PyTorch (2020)
Natural Language Processing with PyTorch.pdf
13.5 MB
Natural Language Processing with PyTorch (2019)
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Machine Learning with Python Book 👇👇
https://www.linkedin.com/posts/sqlspecialist_machine-learning-with-python-activity-7159900908561088512-WqRU?utm_source=share&utm_medium=member_android
https://www.linkedin.com/posts/sqlspecialist_machine-learning-with-python-activity-7159900908561088512-WqRU?utm_source=share&utm_medium=member_android
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Machine Learning with Decision Trees and Random Forest 📝.pdf
1.8 MB
Machine Learning with Decision Trees and Random Forest 📝.pdf
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