Want better #DeepLearning results? Join #KaggleGrandMaster @ybabakhin
, Martin Barus & #MLEngineer #AdamValenta to level up your #TransferLearning skills + get tips on tuning #DeepLearningPipelines. See you at @FIT_CTU on 6.3.23 @ 18:00. http://
ow.ly/mRyY50N8UKe #HydrogenTorch
CODE
-

Master Deep Learning and Transfer Learning with Kaggle Grand Masters
By
–
-
Daily Python Machine Learning and Language Models Content Sharing
By
–
That's a wrap. Every day, I share and simplify complex concepts around Python, Machine Learning & Language Models. Follow me → @Sumanth_077 if you haven't already to ensure you don't miss that. Like/RT the first tweet to support my work and help this reach more people.
-
RLHF Resources: OpenAI and Hugging Face Learning Materials
By
–
Here are some resources which you can further research on RLHF: Open AI's blog: http://
openai.com/blog/instructi
on-following/
…… Hugging Face blog: https://
huggingface.co/blog/rlhf -

SFT Model Training with Reward Function Iterations
By
–
Step3: Sample a Prompt from the dataset, give that to the SFT model and get the generated response. Use the RF model to calculate the reward of the response and use that to update the Model. Iterate over it. That's how they have developed it. 9/9
-
Using Reward Models and PPO to Fine-tune Language Models
By
–
Now we don't need Humans to rank the responses. We have RM which will take care of that. The final step is to use this RM as a reward function and fine-tune the SFT model to maximize the reward using Proximal Policy Optimization which is Reinforcement Learning Algorithm 8/9
-

Supervised Fine-Tuning GPT-3.5 with Human-Written Answers
By
–
Step1: They have prepared a dataset of human-written answers to the prompts and used that to train the model which is called Supervised Fine-Tuning (SFT) model. The model used here for fine-tuning is the Instruct GPT(GPT-3.5) 5/9
-

Fine-tuning GPT-3 with RLHF to Create InstructGPT
By
–
So fine-tuning the GPT-3 model using the RLHF method(which we will look at later) results in Instruct GPT. Instruct GPT is much better at following instructions than GPT-3 Compare the example below on how GPT3 & InstructGPT answer a question. 2/9
-
NewSQL Databases: CockroachDB, TiDB, MemSQL, NuoDB
By
–
NewSQL databases include CockroachDB, TiDB, MemSQL, and NuoDB.
-
Python and English Code: Mixing Scripts with GPT API Prompts
By
–
A file I wrote today is 80% Python and 20% English. I don't mean comments – the script intersperses python code with "prompt code" calls to GPT API. Still haven't quite gotten over how funny that looks.
-
Build Data and AI Apps in VS Code with Azure Databricks
By
–
Build all your #data and #AI applications while staying inside your IDE! Check out this demo to learn how you can author the code for pipelines and jobs in VS code, then deploy, test, and run it in real-time on your Azure Databricks cluster https://
dbricks.co/3IlXoJg