Mixtral 8X7B — Deploying an *Open* AI Agent

James Briggs · Beginner ·🧠 Large Language Models ·2y ago
Mistral AI's new model — Mixtral 8x7B — is pretty impressive. We'll see how to get set up and deploy Mixtral 8X7B, the prompt format it requires, and how it performs when being used as an Agent — we even add in some Mixtral RAG at the end. As a bit of a spoiler, Mixtral is probably the first open-source LLM that is truly very very good — I say this considering the following key points: - Benchmarks show it to perform better than GPT-3.5. - My own testing shows Mixtral to be the first open weights model we can reliably use as an agent. - Due to MoE architecture it is very fast given its size.…
Watch on YouTube ↗ (saves to browser)

Chapters (8)

Mixtral 8X7B is better than GPT 3.5
0:50 Deploying Mixtral 8x7B
3:21 Mixtral Code Setup
8:17 Using Mixtral Instructions
10:04 Mixtral Special Tokens
13:29 Parsing Multiple Agent Tools
14:28 RAG with Mixtral
17:01 Final Thoughts on Mixtral

Playlist

Playlist UUv83tO5cePwHMt1952IVVHw · James Briggs · 0 of 60

← Previous Next →
1 Stoic Philosophy Text Generation with TensorFlow
Stoic Philosophy Text Generation with TensorFlow
James Briggs
 2 How to Build TensorFlow Pipelines with tf.data.Dataset
How to Build TensorFlow Pipelines with tf.data.Dataset
James Briggs
 3 Every New Feature in Python 3.10.0a2
Every New Feature in Python 3.10.0a2
James Briggs
 4 How-to Build a Transformer for Language Classification in TensorFlow
How-to Build a Transformer for Language Classification in TensorFlow
James Briggs
 5 How-to use the Kaggle API in Python
How-to use the Kaggle API in Python
James Briggs
 6 Language Generation with OpenAI's GPT-2 in Python
Language Generation with OpenAI's GPT-2 in Python
James Briggs
 7 Text Summarization with Google AI's T5 in Python
Text Summarization with Google AI's T5 in Python
James Briggs
 8 How-to do Sentiment Analysis with Flair in Python
How-to do Sentiment Analysis with Flair in Python
James Briggs
 9 Python Environment Setup for Machine Learning
Python Environment Setup for Machine Learning
James Briggs
 10 Sequential Model - TensorFlow Essentials #1
Sequential Model - TensorFlow Essentials #1
James Briggs
 11 Functional API - TensorFlow Essentials #2
Functional API - TensorFlow Essentials #2
James Briggs
 12 Training Parameters - TensorFlow Essentials #3
Training Parameters - TensorFlow Essentials #3
James Briggs
 13 Input Data Pipelines - TensorFlow Essentials #4
Input Data Pipelines - TensorFlow Essentials #4
James Briggs
 14 6 of Python's Newest and Best Features (3.7-3.9)
6 of Python's Newest and Best Features (3.7-3.9)
James Briggs
 15 Novice to Advanced RegEx in Less-than 30 Minutes + Python
Novice to Advanced RegEx in Less-than 30 Minutes + Python
James Briggs
 16 Building a PlotLy $GME Chart in Python
Building a PlotLy $GME Chart in Python
James Briggs
 17 How-to Use The Reddit API in Python
How-to Use The Reddit API in Python
James Briggs
 18 How to Build Custom Q&A Transformer Models in Python
How to Build Custom Q&A Transformer Models in Python
James Briggs
 19 How to Build Q&A Models in Python (Transformers)
How to Build Q&A Models in Python (Transformers)
James Briggs
 20 How-to Decode Outputs From NLP Models (Python)
How-to Decode Outputs From NLP Models (Python)
James Briggs
 21 Identify Stocks on Reddit with SpaCy (NER in Python)
Identify Stocks on Reddit with SpaCy (NER in Python)
James Briggs
 22 Sentiment Analysis on ANY Length of Text With Transformers (Python)
Sentiment Analysis on ANY Length of Text With Transformers (Python)
James Briggs
 23 Unicode Normalization for NLP in Python
Unicode Normalization for NLP in Python
James Briggs
 24 The NEW Match-Case Statement in Python 3.10
The NEW Match-Case Statement in Python 3.10
James Briggs
 25 Multi-Class Language Classification With BERT in TensorFlow
Multi-Class Language Classification With BERT in TensorFlow
James Briggs
 26 How to Build Python Packages for Pip
How to Build Python Packages for Pip
James Briggs
 27 How-to Structure a Q&A ML App
How-to Structure a Q&A ML App
James Briggs
 28 How to Index Q&A Data With Haystack and Elasticsearch
How to Index Q&A Data With Haystack and Elasticsearch
James Briggs
 29 Q&A Document Retrieval With DPR
Q&A Document Retrieval With DPR
James Briggs
 30 How to Use Type Annotations in Python
How to Use Type Annotations in Python
James Briggs
 31 Extractive Q&A With Haystack and FastAPI in Python
Extractive Q&A With Haystack and FastAPI in Python
James Briggs
 32 Sentence Similarity With Sentence-Transformers in Python
Sentence Similarity With Sentence-Transformers in Python
James Briggs
 33 Sentence Similarity With Transformers and PyTorch (Python)
Sentence Similarity With Transformers and PyTorch (Python)
James Briggs
 34 NER With Transformers and spaCy (Python)
NER With Transformers and spaCy (Python)
James Briggs
 35 Training BERT #1 - Masked-Language Modeling (MLM)
Training BERT #1 - Masked-Language Modeling (MLM)
James Briggs
 36 Training BERT #2 - Train With Masked-Language Modeling (MLM)
Training BERT #2 - Train With Masked-Language Modeling (MLM)
James Briggs
 37 Training BERT #3 - Next Sentence Prediction (NSP)
Training BERT #3 - Next Sentence Prediction (NSP)
James Briggs
 38 Training BERT #4 - Train With Next Sentence Prediction (NSP)
Training BERT #4 - Train With Next Sentence Prediction (NSP)
James Briggs
 39 FREE 11 Hour NLP Transformers Course (Next 3 Days Only)
FREE 11 Hour NLP Transformers Course (Next 3 Days Only)
James Briggs
 40 New Features in Python 3.10
New Features in Python 3.10
James Briggs
 41 Training BERT #5 - Training With BertForPretraining
Training BERT #5 - Training With BertForPretraining
James Briggs
 42 How-to Use HuggingFace's Datasets - Transformers From Scratch #1
How-to Use HuggingFace's Datasets - Transformers From Scratch #1
James Briggs
 43 Build a Custom Transformer Tokenizer - Transformers From Scratch #2
Build a Custom Transformer Tokenizer - Transformers From Scratch #2
James Briggs
 44 3 Traditional Methods for Similarity Search (Jaccard, w-shingling, Levenshtein)
3 Traditional Methods for Similarity Search (Jaccard, w-shingling, Levenshtein)
James Briggs
 45 3 Vector-based Methods for Similarity Search (TF-IDF, BM25, SBERT)
3 Vector-based Methods for Similarity Search (TF-IDF, BM25, SBERT)
James Briggs
 46 Building MLM Training Input Pipeline - Transformers From Scratch #3
Building MLM Training Input Pipeline - Transformers From Scratch #3
James Briggs
 47 Training and Testing an Italian BERT - Transformers From Scratch #4
Training and Testing an Italian BERT - Transformers From Scratch #4
James Briggs
 48 Faiss - Introduction to Similarity Search
Faiss - Introduction to Similarity Search
James Briggs
 49 Angular App Setup With Material - Stoic Q&A #5
Angular App Setup With Material - Stoic Q&A #5
James Briggs
 50 Why are there so many Tokenization methods in HF Transformers?
Why are there so many Tokenization methods in HF Transformers?
James Briggs
 51 Choosing Indexes for Similarity Search (Faiss in Python)
Choosing Indexes for Similarity Search (Faiss in Python)
James Briggs
 52 Locality Sensitive Hashing (LSH) for Search with Shingling + MinHashing (Python)
Locality Sensitive Hashing (LSH) for Search with Shingling + MinHashing (Python)
James Briggs
 53 How LSH Random Projection works in search (+Python)
How LSH Random Projection works in search (+Python)
James Briggs
 54 IndexLSH for Fast Similarity Search in Faiss
IndexLSH for Fast Similarity Search in Faiss
James Briggs
 55 Faiss - Vector Compression with PQ and IVFPQ (in Python)
Faiss - Vector Compression with PQ and IVFPQ (in Python)
James Briggs
 56 Product Quantization for Vector Similarity Search (+ Python)
Product Quantization for Vector Similarity Search (+ Python)
James Briggs
 57 How to Build a Bert WordPiece Tokenizer in Python and HuggingFace
How to Build a Bert WordPiece Tokenizer in Python and HuggingFace
James Briggs
 58 Metadata Filtering for Vector Search + Latest Filter Tech
Metadata Filtering for Vector Search + Latest Filter Tech
James Briggs
 59 Build NLP Pipelines with HuggingFace Datasets
Build NLP Pipelines with HuggingFace Datasets
James Briggs
 60 Composite Indexes and the Faiss Index Factory
Composite Indexes and the Faiss Index Factory
James Briggs
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Next Up
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)