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Optimizing Speculative Decoding in vLLM: A Guide to Configuration and Decision-Making
AI/ML3 min read

Optimizing Speculative Decoding in vLLM: A Guide to Configuration and Decision-Making

Speculative decoding is a method that can double token throughput in vLLM systems. However, enabling it can sometimes lead to increased latency and memory errors if not configur...

12 August 2026Read
Understanding Self-Supervised Learning in Machine Learning
AI/ML6 min read

Understanding Self-Supervised Learning in Machine Learning

Self Supervised Learning (SSL) is an innovative approach in machine learning where models learn from unlabeled data. Instead of relying on manually labeled datasets, SSL enables...

11 August 2026Read
Understanding Bernoulli Naive Bayes for Binary Classification
AI/ML5 min read

Understanding Bernoulli Naive Bayes for Binary Classification

Bernoulli Naive Bayes is a specific type of the Naive Bayes algorithm, primarily used in scenarios where data is binary. It models the occurrence of features using the Bernoulli...

11 August 2026Read
Understanding the Essentials of Data Cleaning
Data Analysis6 min read

Understanding the Essentials of Data Cleaning

Data cleaning is a crucial step in preparing raw datasets by identifying and correcting errors, making them suitable for effective analysis. This foundational process in data pr...

11 August 2026Read
Understanding Exploratory Data Analysis
Data Analysis6 min read

Understanding Exploratory Data Analysis

Exploratory Data Analysis (EDA) is a crucial initial phase in data analysis that involves examining and visualizing data to uncover its main features, identify patterns, and exp...

11 August 2026Read
Understanding Random Forest Regression with Python
AI/ML5 min read

Understanding Random Forest Regression with Python

Introduction to Random Forest Regression Random Forest is a powerful ensemble learning technique that enhances prediction accuracy by integrating multiple decision trees. It is...

11 August 2026Read
Optimizing Ornith 9B Model on a Single GPU: Costs, Latency, and Performance
AI/ML4 min read

Optimizing Ornith 9B Model on a Single GPU: Costs, Latency, and Performance

We conducted a fine tuning experiment on [Ornith 1.0 9B], an open source 9 billion parameter model designed for coding tasks, using a 61,000 example dataset focused on reasoning...

11 August 2026Read
Top Engineering Intelligence Platforms to Watch in 2026
DevOps7 min read

Top Engineering Intelligence Platforms to Watch in 2026

Metrics such as cycle time, deployment frequency, pull request volume, and incident rates are commonly available but often fail to reveal how engineering performance changes ove...

10 August 2026Read
Optimizing SVM Performance with GridSearchCV
AI/ML3 min read

Optimizing SVM Performance with GridSearchCV

Support Vector Machines (SVM) are commonly utilized for classification tasks, but obtaining optimal performance requires selecting the right hyperparameters, such as C and gamma...

10 August 2026Read
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Blog - Data Analysis - Page 10 — Xfinit Software