For the ludicrously fast Llama 3 70B API from @GroqInc
, get an API key from https://
console.groq.com/keys and then: llm install 'https:''//github.com/lexh/llm-groq/archive/ba9d7de74b3057b074a85fe99fe873b75519bd78.zip'
llm keys set groq
# paste API key here
llm -m groq-llama3-70b 'hi'
CODE
-
Groq Llama 3 70B API Setup Guide and Installation
By
–
-
Fine-tuning T5 Model for Text Summarization with BBC News Dataset
By
–
🎥 New Video Alert 🎥https://t.co/RbOAmvuL4v
— Satya Mallick (@LearnOpenCV) 22 avril 2024
Our latest video tutorial enhances the T5 model for text summarization, utilizing the comprehensive BBC news summary dataset. Learn how to effectively fine-tune and deploy the T5 model with Gradio for real-world applications.… pic.twitter.com/Yo7kKb47itNew Alert https://
youtube.com/watch?v=KsC0dV
JgnMs
… Our latest video tutorial enhances the T5 model for text summarization, utilizing the comprehensive BBC news summary dataset. Learn how to effectively fine-tune and deploy the T5 model with Gradio for real-world applications. -
Daily Content Sharing 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. -
Pandas AI: Data Cleaning, Feature Generation, and Chart Plotting
By
–
With Pandas AI you can: → Clean the Data → Impute missing values → Generate New features → Analyze and manipulate the data Not just that you can also ask it to plot the charts: Here is plotting Histogram with Pandas AI:
-
PandasAI: Generative AI for Natural Language Data Analysis
By
–
Python library that adds Generative AI capabilities to Pandas Introducing PandasAI, now you can analyze complex data frames and plot visualizations just by using natural language
-
Llama 3 LLM Plugins: Local Hosting and API Access Guide
By
–
I pulled together notes on all of the LLM plugins that have worked for me for Llama 3 – both for hosting locally (I've run 8B and 70B on my 64GB M2) and access via APIs (Groq is SO FAST for that)
— Simon Willison (@simonw) 22 avril 2024
Options for accessing Llama 3 from the terminal using LLMhttps://t.co/OuG7EqCI4F pic.twitter.com/xmBisMH7IoI pulled together notes on all of the LLM plugins that have worked for me for Llama 3 – both for hosting locally (I've run 8B and 70B on my 64GB M2) and access via APIs (Groq is SO FAST for that) Options for accessing Llama 3 from the terminal using LLM https://
simonwillison.net/2024/Apr/22/ll
ama-3/
… -
BLOB Columns: Embeddings Storage in LLM Datasette
By
–
BLOB columns: https://
llm.datasette.io/en/stable/embe
ddings/storage.html
… -
CUDA CuDNN Python Startup Costs and Compilation Overhead
By
–
its unclear to me even for code because compile-time and startup costs (even for a CUDA/CuDNN loading Python program) is 1 second.
If you strip out the binary blobs that need to load (say business logic filled program), then its quicker, but i'm not sure if there aren't other -
Meta-Llama-3-70B-Instruct Q4 Quantized Model Implementation
By
–
I used the Meta-Llama-3-70B-Instruct.Q4_0.llamafile (quantized at Q4) file from here:
-
LLM Documentation OpenAI Compatible Endpoints Guide
By
–
Here's my current documentation on using LLM with these kinds of endpoints https://
llm.datasette.io/en/stable/othe
r-models.html#openai-compatible-models
…