Create Your Own Large Language Model Playground in SageMaker Studio
Now you can deploy LLMs and experiment with them all in one place- 26522Murphy ≡ DeepGuide
A brief history of language models
Breakthroughs on the way towards GPT - explained for non-experts- 23361Murphy ≡ DeepGuide
Interacting with large language models
Enriching prompts to steer the model - explained for non-experts- 27681Murphy ≡ DeepGuide
Text Tiling Done Right: Building Solid Foundations For Your Personal LLM
How to build a text tiling model from scratch using both semantic and lexical similarity- 29787Murphy ≡ DeepGuide
From Chaos to Clarity: Streamlining Data Cleansing Using Large Language Models
Cleaning up survey responses using OpenAI's GPT Model. Full Code with Github link.- 24937Murphy ≡ DeepGuide
Thinking about fine-tuning an LLM? Here's 3 considerations before you get started
Organization specific LLMs are a big request for many Data Science teams, here's 3 ideas to help ensure you invest your resources wisely.- 27871Murphy ≡ DeepGuide
GPT vs BERT: Which is Better?
Comparing two large-language models: Approach and example- 24374Murphy ≡ DeepGuide
The Three Essential Methods to Evaluate a New Language Model
What is this about? New LLMs are released every week, and if you’re like me, you might ask yourself: Does this one finally fit all the use cases I want to utilise an LLM for? In this tutorial, I will share the techniques that I use to evaluate new L- 25946Murphy ≡ DeepGuide
Code understanding on your own hardware
Setting up an LLM to talk about your code - with LangChain and local hardware- 26600Murphy ≡ DeepGuide
Text classification challenge with extra-small datasets: Fine-tuning versus ChatGPT
LLMs excel on extra-small datasets, but classical approaches shine as datasets grow- 20622Murphy ≡ DeepGuide
Async calls for Chains with Langchain
How to make Langchain chains work with Async calls to LLMs, speeding up the time it takes to run a sequential long chain.- 20178Murphy ≡ DeepGuide
Deploying Large Language Models With HuggingFace TGI
Another way to efficiently host and scale your LLMs with Amazon SageMaker- 20863Murphy ≡ DeepGuide
Different ways of training LLMs
And why prompting is none of them- 22022Murphy ≡ DeepGuide
7 Ways to Monitor Large Language Model Behavior
Seven ways to track the evolution of LLMs with LangKit and WhyLabs- 20804Murphy ≡ DeepGuide
User feedback – the missing piece of your ML monitoring stack
A complete guide to building user-centric AI.- 28999Murphy ≡ DeepGuide
ChatGPT's energy use per query
How much electricity does ChatGPT use to answer one question?- 26399Murphy ≡ DeepGuide
Fine-tuned LLMs for Sentiment Prediction – How to analyze and evaluate
Evaluation of models on Hugging Face for sentiment prediction- 26556Murphy ≡ DeepGuide
5 Ways Generative AI Changes How Companies Approach Data (And How It Doesn't)
Experts from venture capital, Snowflake, and more discuss how generative AI will benefit data teams and the challenges they must solve.- 20398Murphy ≡ DeepGuide
A Good Description Is All You Need
How to use few shot learning to improve text classification performance- 22666Murphy ≡ DeepGuide
Leveraging LLMs with Information Retrieval: A Simple Demo
A demo of integrating a Question-Answering LLM with retrieval components- 29771Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag