3/ the original scaling laws require a scaling of data alongside compute, and while you can still improve loss with more compute, it is much less efficient than if you scaled data as well
DATA
-
Scaling AI: Expert Data, RL Environments, and Synthetic Data Methods
By
–
4/ there's a lot of arguments on both ends, but fundamentally scaling relies on expanding beyond existing internet data we need a number of methods for data abundance:
– high-end expert frontier data, which is more valuable than internet data
– RL environments
– synthetic data -
Compute vs Data: Two Schools of Thought on AI Progress
By
–
2/ there are 2 schools of thought: 1) compute is the only real bottleneck to AI progress. the more we spend, the closer we get to AGI 2) we are hitting a data wall which will slow progress regardless of how much compute we have
-
Daily Content on Python Data Science Machine Learning and MLOps
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.
-
SuperDuper DB: Open-Source Framework for AI Database Applications
By
–
6. SuperDuper DB AI in your Database. Open-source framework for building AI Applications right in your databases.
-
Pandas AI: Generative AI for Data Analysis and Visualization
By
–
2. Pandas AI Pandas AI adds Generative AI capabilities to Pandas. Now you can analyze complex data frames and plot visualizations just by using natural language.
-
7 Amazing Python Libraries for Data Science and Machine Learning
By
–
7 amazing Python libraries for Data Science and Machine Learning not known to many:
-
Daily Content on Python, Data Science, Machine Learning and MLOps
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.
-
Chat with Your Data: Summarizing PDF Files in Applications
By
–
Step 4: Chat with your data Finally, once the data has been ingested into the app, chat with your data. Here we are asking it to summarize the pdf file.
-
Upload Research Paper PDF to Clarifai for Embedding and Indexing
By
–
Step 3: Upload the data, Here we are uploading the pdf file of a research paper. Once you upload the data, it will embed and index the data into your Clarifai app. Clarifai Apps acts as your vector database.