Model

Microsoft Provides OpenAI’s GPT-4 Model to US Government Agencies for the First Time

Microsoft (MS) is the primary company to supply AI models of OpenAI to US government agencies. It's interpreted as an intention to take care of AI-related leadership by expanding the scope to government...

Training a Machine Learning Model on a Kafka Stream Running Kafka with Docker A Kafka producer for training data A Kafka consumer for training an ML model Conclusion

Updating a machine learning model online and in near real-time using training data generated by a Kafka producerFrom a practical perspective, nonetheless, working with data streams and streaming architecture remains to be pretty latest...

Harnessing the Falcon 40B Model, the Most Powerful Open-Source LLM Introduction How was Falcon LLM developed? Model Architecture and Objective Implementing Chat Capabilities with Falcon-40B-Instruct Discussion and Results Conclusion Large Language...

Mastering open-source language models: diving into Falcon-40BThe main target of the AI industry has shifted towards constructing more powerful, larger-scale language models that may understand and generate human-like text. Models like GPT-3 from OpenAI...

Harnessing the Falcon 40B Model, the Most Powerful Open-Source LLM Introduction How was Falcon LLM developed? Model Architecture and Objective Implementing Chat Capabilities with Falcon-40B-Instruct Discussion and Results Conclusion Large Language...

Mastering open-source language models: diving into Falcon-40BThe main target of the AI industry has shifted towards constructing more powerful, larger-scale language models that may understand and generate human-like text. Models like GPT-3 from OpenAI...

Latest model offers a strategy to speed up drug discovery

Huge libraries of drug compounds may hold potential treatments for quite a...

Create Your Own Nested Sampling Algorithm for Bayesian Parameter Fitting and Model Selection (With Python) Level Up Coding

In today’s recreational coding exercise, we learn a more advanced and robust Monte Carlo approach for model parameter fitting, which also allows us to calculate the Bayesian evidence of a model and perform model...

Create Your Own Nested Sampling Algorithm for Bayesian Parameter Fitting and Model Selection (With Python) Level Up Coding

In today’s recreational coding exercise, we learn a more advanced and robust Monte Carlo approach for model parameter fitting, which also allows us to calculate the Bayesian evidence of a model and perform model...

Investing in Mexico: Using a Decision Tree Model to Predict NAFTRAC’s Price Movements Disclaimer Constructing the Model Interpreting the Model Next Steps and Suggestions

On the earth of finance, predicting the movement of stock prices is usually a beneficial tool for investors and traders. One approach to this problem is to make use of machine learning algorithms, comparable...

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