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Introducing “Building LLMs for Production”
Introducing “Building LLMs for Production”
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Towards AI Editorial Team
May 24
This AI newsletter is all you need #100
This AI newsletter is all you need #100
What happened this week in AI by Louie
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May 21
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Latest articles
Fine-Tuning and Evaluating Large Language Models: Key Benchmarks and Metrics
Fine-Tuning and Evaluating Large Language Models: Key Benchmarks and Metrics
In generative AI, we must first define the problem statement. Then, select a model accordingly. We must then select the model that best…
Saif Ali Kheraj
Jul 19
Large Language Model Training Pipeline For NLP Text Classification
Large Language Model Training Pipeline For NLP Text Classification
How to build an end-to-end training pipeline using the Large Language Model and serve the model using Flask Web App.
Lu Zhenna
Jul 19
10 Important Blogs to Stay Updated with LLM Research & News
10 Important Blogs to Stay Updated with LLM Research & News
Staying up-to-date with the rapidly evolving world of Large Language Model (LLM) research and news can be a challenging task. With…
Youssef Hosni
Jul 19
Reinforcement Learning: Introducing Deep Q* Networks — Part 6
Reinforcement Learning: Introducing Deep Q* Networks — Part 6
An adjusted framework combining Deep Q-Networks with a trainable exploration heuristic and supervision
Tan Pengshi Alvin
Jul 19
AI Hallucinations
AI Hallucinations
Where Artificial Intelligence Meets Artificial Imagination
Paul Ferguson, Ph.D.
Jul 19
Demystifying the Black Box: Advanced Techniques in Interpretable AI with SHAP and LIME
Demystifying the Black Box: Advanced Techniques in Interpretable AI with SHAP and LIME
Introduction
saeed garmsiri
Jul 19
#32 Understanding AdaBoost From Its Original 1997 Paper
#32 Understanding AdaBoost From Its Original 1997 Paper
LLMs & GenAI Video Series, Tutorial on building chatbots, and more.
Towards AI Editorial Team
Jul 18
Bayesian analysis and decision theory: application to determine a decision point for classification…
Bayesian analysis and decision theory: application to determine a decision point for classification…
A dilemma often presented in classification problems where the output is a number is determining the cutout point between the categories…
Greg Postalian-Yrausquin
Jul 17
A Complete Guide to Descriptive Statistics — Central Tendency and Dispersion
A Complete Guide to Descriptive Statistics — Central Tendency and Dispersion
A one-stop solution for understanding Descriptive Statistics
Anmol Tomar
Jul 17
From Concept to Creation: U-Net for Flawless Inpainting
From Concept to Creation: U-Net for Flawless Inpainting
Introduction
Dawid Kopeć
Jul 17
Important LLMs Papers for the Week from 08/07 to 14/07
Important LLMs Papers for the Week from 08/07 to 14/07
Stay Updated with Recent Large Language Models Research
Youssef Hosni
Jul 17
Revolutionizing Named Entity Recognition with Efficient Bidirectional Transformer Models
Revolutionizing Named Entity Recognition with Efficient Bidirectional Transformer Models
The light NER model outperforms both ChatGPT and fine-tuned LLMs in zero-shot evaluations on various NER benchmarks.
Chien Vu
Jul 17
Fine-Tuning LLMs with Synthetic Data for High-Quality Content Generation
Fine-Tuning LLMs with Synthetic Data for High-Quality Content Generation
An End-to-End Journey to Build a High-Quality AI Technical Writer
Vin Busquet
Jul 17
Quantization: Post Training Quantization, Quantization Error, and Quantization Aware Training
Quantization: Post Training Quantization, Quantization Error, and Quantization Aware Training
Efficient Inference in AI Models
JAIGANESAN
Jul 17
GraphRAG Is the Logical Step From Rag — So Why the Sudden Hype?
GraphRAG Is the Logical Step From Rag — So Why the Sudden Hype?
It seems like everyone is currently talking about GraphRAG as the successor to RAG (Retrieval-Augmented Generation) in the Generative AI /…
Daniel Voyce
Jul 17
Top Important Computer Vision Papers for the Week from 08/07 to 14/07
Top Important Computer Vision Papers for the Week from 08/07 to 14/07
Stay Updated with Recent Computer Vision Research
Youssef Hosni
Jul 17
TAI #108:Conflicting Developments in the AI Regulation Debate
TAI #108:Conflicting Developments in the AI Regulation Debate
Also, FlashAttention-3, imminent new LLMs, OpenAI’s “Strawberry” project, CRAG, MambaVision, and more!
Towards AI Editorial Team
Jul 16
Towards AI Tested Launchpad by Latitude.sh:
Towards AI Tested Launchpad by Latitude.sh:
At Towards, we’re particularly interested in how Latitude.sh’s platform supports machine learning models, especially for inference and…
Towards AI Editorial Team
Jul 16
Significance of Image Labeling in AI
Significance of Image Labeling in AI
The capability of AI to see and perceive its surroundings has myriad advantages. In this blog, we will explore further the invaluable role…
Rayan Potter
Jul 15
How to Call Machine Learning Algorithms on R for Spatial Analysis.
How to Call Machine Learning Algorithms on R for Spatial Analysis.
R has become ideal for GIS, especially for GIS machine learning as it has topnotch libraries that can perform geospatial computation. R has…
Stephen Chege-Tierra Insights
Jul 15
In-Depth Understanding of Vector Search for RAG and Generative AI Applications
In-Depth Understanding of Vector Search for RAG and Generative AI Applications
I will start by describing why we need a vector search for RAG, and how vectors and vector databases work, and then focus on the Azure AI…
Talib
Jul 13
Can you actually beat the dealer in Blackjack? — Simulation of most popular strategies
Can you actually beat the dealer in Blackjack? — Simulation of most popular strategies
In this article I explore if it is actually possible to beat the blackjack dealer using strategic thought. Of course, the underlying idea…
Eram Khan
Jul 13
TimesFM — Google’s Foundational Model for Time Series Forecasting
TimesFM — Google’s Foundational Model for Time Series Forecasting
Imagine a large, pretrained model tailored for time-series data — one that delivers accurate predictions without extensive retraining.
Satyajit Chaudhuri
Jul 13
Better GPT-4 Prompting For Interactive Python Plotly GIS Maps
Better GPT-4 Prompting For Interactive Python Plotly GIS Maps
Mapping historical shipwreck data from Harvard data set
John Loewen, PhD
Jul 13
Preventing Prompt Injection in OpenAI : A Case Study with Priceline’s OpenAI Tool “Penny”
Preventing Prompt Injection in OpenAI : A Case Study with Priceline’s OpenAI Tool “Penny”
Strategies to Mitigate Persistent Prompt Injection Threats
Jonathan Bennion
Jul 13
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