ICYMI: Earlier this week, we held a virtual hands-on #workshop for 250+ developers on how to efficiently #finetune and serve your own LLMs that rival #GPT4. Here's the replay for anyone interesting in trying it out:
EDUCATION
-

AI Access Drives Scientific Discovery and Economic Growth
By
–
#AI is a fertilizer to the garden of possibilities from scientific discovery to economic growth. We need more people to be educated and invited into the world of AI, not less. Ensuring public sector and entrepreneurial’s access to the best AI models is critical for our society!
-
Free AI Tools at Work Course Now Available
By
–
Here’s the link to join for free and get instant access to our AI Tools at Work Course:
-
Free AI Tools at Work Course Now Available
By
–
Here’s the link to join for free and get instant access to our AI Tools at Work Course:
-
Free AI Tools at Work Course Now Available
By
–
Here’s the link to join for free and get instant access to our AI Tools at Work Course:
-
Free AI Tools at Work Course Access
By
–
Here’s the link to join for free and get instant access to our AI Tools at Work Course:
-
Free AI Tools at Work Course Now Available
By
–
Here’s the link to join for free and get instant access to our AI Tools at Work Course:
-

ML NLP LLMs RAG Newsletter Tips and Tutorials
By
–
Thanks for sharing Min! If you’re interested in:
– ML/NLP
– LLMs
– RAG Connect with me → @Saboo_Shubham_ My Newsletter → https://
unwindai.substack.com Everyday, I share tip & tutorials on above topics on X and my newsletter. -
Daily Content on Python, Data Science, and Machine Learning
By
–
That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
-

Calculate Gradients dW1 d_b2 d_b1 for Neural Network Backpropagation
By
–
Similarly calculate d_W1, d_b2 & d_b1 dW1: Gradient of the loss function wrt W1 d_b2: Gradient of the loss function wrt b2(bias of neuron in output layer) d_b1: Gradient of the loss function wrt b1(bias of neuron in hidden layer)