Starcoder LLM: The Ultimate Language Model for Developers

preview_player
Показать описание
Are you tired of spending hours on debugging and searching for the right code? Look no further! Introducing the Starcoder LLM (Language Model), the ultimate tool designed specifically for programming languages. The StarCoderBase models are trained on over 80 programming languages from The Stack (v1.2), making them the most comprehensive models available with 15.5B parameters. This gives them immense computational power and an impressive understanding of the vast amount of programming data.

With the Starcoder LLM, developers can now write better code more efficiently than ever before. This model uses a technique called Multi Query Attention, which allows it to understand the context of the code and provide relevant suggestions. Additionally, the model has a large context window of 8192 tokens, allowing it to analyze a large amount of code at once and provide accurate suggestions. The LLM was trained using the Fill-in-the-Middle objective on 1 trillion tokens. This training allows the LLM to predict missing code in a given program, a common task for developers. The result is an accurate and relevant suggestion for coding problems. In this video, we dive deep into the features of the Starcoder LLM and how it can help developers write better code in less time. We cover everything from the technique of Multi Query Attention to the large context window, and even the impressive amount of programming languages it has been trained on.

Content:
- Introduction to the Starcoder LLM
- The comprehensive training of StarCoderBase models
- Multi Query Attention technique and its benefits
- Large context window of 8192 tokens
- LLM's Fill-in-the-Middle objective and its significance
- How the Starcoder LLM can help developers write better code in less time

[Links Used]:

[Time Stamps]:
0:00 - Introduction
1:47 - What is Starcoder LLM?
3:00 - Dataset Preview/Use Cases
5:00 - Features
8:18 - 83 Programming Languages Used
10:30 - Demo
13:44 - Installation

Don't forget to like, subscribe, and share this video with other developers who can benefit from the Starcoder LLM.

Additional Tags: #programminglanguages #codetools #machinelearning #devtools #artificialintelligence
Hashtags: #StarcoderLLM #ProgrammingLanguages #MachineLearning #DevTools
Рекомендации по теме
Комментарии
Автор

Sir your videos are awesome.. but please try to include the following points whenever you review a new LLM..

1. Review of dataset
2. Review of model architecture
3. Review of model performance in normal, 8bit and 4bit mode
4. Using model offline
5. Hardware requirements

DevasheeshMishra
Автор

After testing I can say it's still pretty bad. Hopefully they get more work in on this one, cause I've been looking forward to an open source coding model. This is exiting.

DaKingof
Автор

I did not find a simple answer how to install the model locally

GordonBreazz
Автор

That seems to be the most incoherent chat bot I've ever used. I hope it gets improved.

exshenanigan
Автор

a video on how to train a model would be super helpful!

kidnaruto
Автор

This is the LLM, I have been waiting for so much time

tarun
Автор

Can you do something on image recognition. Maybe hooking something like a yolov8 to a llm like chat gpt. Mainly curious to see if it can recognize symbols in blueprints and if you can interact with the blueprints through the llm

bennymartinez
Автор

Seems like you have to be very specific and write some pseudocode. If I just write what I want it will only give me out comments and not code. It seems not as easy to prompt as GPT4. Just my first expressions.

Utoko
Автор

No worries, bell is on, please continue posting🎉

ds
Автор

Wow. Bro I swear AI is progressing so fckn fast. Thanks for the coverage of this, as always!

Maxymatrix
Автор

Another great video, thank you! It will be interesting to see how it compares to GPT-4.

pokerandphilosophy
Автор

I have more than 1 million of solidity files, way bigger than the starcoder train set. I guess I should use something else, what can I use to re-train a model?

agustinalaurenti
Автор

Is it working with the OOBABOOGA TEXT GENERATOR? I tried setting it up and it's just too much work honestly.

marilynlucas
Автор

I have a 13 inch notebook and I can't see your content....

greendsnow
Автор

this is very interesting, thanks for sharing!

amj
Автор

maybe you will laugh, but I did not understand how to install it on arch linux, and how it even starts. Maybe someone will tell?

КонстантинБарабанщиков