Models
Artificial Intelligence
Demystifying Large Language Models: How They Learn and Transform AI
Special due to my friend Faith C., whose insights and concepts inspired the creation of this text on GPT and Large Language Models.Large Language Models (LLMs) are sophisticated programs that consist of complex algorithms...
Artificial Intelligence
improve the standard of Large Language Models and solve the alignment problem
There are 2 foremost aspects holding back model quality:Just throwing massive datasets of synthetically generated or scraped content on the training process and hoping for the perfect.The alignment of the models to make sure...
Artificial Intelligence
Who will win IPL 2023?? Data Where is the code? 1. Data cleansing and formatting 2. Exploratory data evaluation 3. Feature engineering and selection 4. Compare several machine learning models...
IPL, one of the vital distinguished cricketing events on the earth with over 400 million viewers across the globe has proven to be certainly one of the mega-events.IPL 2023 is in full swing on...
Artificial Intelligence
Applying Large Language Models
Application of OpenAIOpenAI LLM’s humongous training data give them access to an exceedingly large knowledge corpus. This inherently makes them ideal for working around content-based use cases.Some use cases where they've already been applied...
Artificial Intelligence
Applying Large Language Models to Tabular Data to Discover Drift
This piece demonstrates using pre-trained LLMs to assist practitioners discover drift and anomalies in tabular data. During tests over various fractions of anomalies, anomaly locations, and anomaly columns, this method was usually capable of...
Artificial Intelligence
Deploy ML Models with AWS Lambda & Ephemeral Storage Prerequisites 1. ML Model 2. Lambda Function 3. Docker Image 4. Infrastructure Limitations and making the Solution scalable
It's important to offer enough memory_size to the Lambda in addition to a big enough ephemeral_storage_size. Furthermore, we want to point the PYTORCH_TRANSFORMERS_CACHE directory to the /tmp directory to permit the Transformers library to...
Artificial Intelligence
Unveiling the Power of Large Language Models (LLMs)
Over the past few years, artificial intelligence has made significant strides in the sector of natural language processing. Amongst these advancements, Large Language Models (LLMs) have emerged as a dominant force, transforming the best...
Artificial Intelligence
Top 10 Pre-Trained Models for Image Embedding every Data Scientist Should Know
Essential guide to transfer learningOther Details for ConvNeXt models:Implementation:Instantiate the ConvNeXt-Tiny model using the below-mentioned code:tf.keras.applications.ConvNeXtTiny(model_name="convnext_tiny",include_top=True,include_preprocessing=True,weights="imagenet",input_tensor=None,input_shape=None,pooling=None,classes=1000,classifier_activation="softmax",)The above-mentioned code is for ConvNeXt-Tiny implementation, keras offers an identical API of the opposite EfficientNet architecture (ConvNeXt-Small, ConvNeXt-Base,...
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