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Transformer Inference: Techniques for Faster AI Models

Transformer Inference: Techniques for Faster AI Models

Transformer inference powers tasks in NLP and vision, but is computationally intense, requiring optimizations. Large models like GPT-3 need extensive memory and FLOPs, with techniques like KV caching, quantization, and parallelism reducing costs.

Open-Source Code Language Models: DeepSeek, Qwen, and Beyond

Open-Source Code Language Models: DeepSeek, Qwen, and Beyond

Open-source CodeLLMs like DeepSeek-Coder and Qwen2.5-Coder revolutionize code intelligence by offering repository-level training, multilingual support, and advanced features. These models rival proprietary solutions, fostering transparency, collaboration, and customization.

Generative AI Adoption: Industry Impact, Challenges, and Future Trends

Generative AI Adoption: Industry Impact, Challenges, and Future Trends

Generative AI is revolutionizing industries, reshaping how businesses operate and innovate. With rapid adoption and increased investments, organisations are leveraging AI for tasks like content creation, customer support, and software development.

AI Sustainability: Reducing Carbon Footprint and Driving Innovation

AI Sustainability: Reducing Carbon Footprint and Driving Innovation

As AI technology expands, so does its carbon footprint. This underscores the challenge: while AI accelerates digital transformation, it risks becoming a significant contributor to global CO₂ emissions.

State of Text2SQL 2024

State of Text2SQL 2024

Text to SQL is a task that aims to convert natural language questions into corresponding SQL queries that can be executed in relational databases. Interestingly, this problem statement has been through research before the rise of Large Language Models.

Announcing our $14M Strategic Seed Round

Announcing our $14M Strategic Seed Round

Prem has secured a $14M strategic seed round to expand its AI ecosystem. With backing from investors like David Maisel, Prem aims to empower businesses with generative AI while ensuring data ownership. Key offerings include the Prem Platform and Autonomous Fine-tuning Agent for custom AI models.

Introducing Prem-Operator, An Open-Source Kubernetes Operator for AI/ML

Introducing Prem-Operator, An Open-Source Kubernetes Operator for AI/ML

Today, we are excited to announce the open-source release of the “Prem-Operator,” A Kubernetes operator that eases the deployment of AI and ML workloads, with an initial focus on inference. The launch of the Prem Operator marks a major advancement in our goal to provide AI that you can fully

Introducing Benchmarks v2

Introducing Benchmarks v2

Prem's Benchmarks v2 is an open-source project evaluating 13+ LLM inference engines, including vLLM and TensorRT LLM, across precisions like float32, float16, int4, and int8. It helps the open-source community and enterprises understand LLM inference performance.

RAG Strategies

The article "RAG Strategies" explores Retrieval-Augmented Generation (RAG) methods, detailing Naive RAG, Advanced RAG, and Modular RAG approaches. It introduces RAFT, a fine-tuning technique, and discusses optimizing large language models for RAG tasks.

Model Alignment Process

Model Alignment Process

The article discusses methods to align large language models (LLMs) with human preferences, focusing on techniques like Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO). It also introduces non-RL methods such as Kahneman-Tversky Optimization (KTO).

Serverless Deployment of Mistral 7B v0.2 using Runpod

Serverless Deployment of Mistral 7B v0.2 using Runpod

The article provides a step-by-step guide to deploying the Mistral 7B v0.2 model on RunPod's serverless GPU cloud infrastructure. It covers setting up the environment, writing deployment scripts, and configuring the Docker environment for efficient AI application scaling.

Serverless Deployment with Google Gemma using Beam Cloud

Serverless Deployment with Google Gemma using Beam Cloud

Deploy Google Gemma 2B on Beam Cloud using FastAPI for serverless inference. This guide covers model setup, Hugging Face token authentication, autoscaling, and seamless deployment. Learn how Beam Cloud simplifies LLM hosting with scalable infrastructure.

Serverless Deployment of Mistral 7B with Modal Labs and HuggingFace

Serverless Deployment of Mistral 7B with Modal Labs and HuggingFace

Learn how to deploy Mistral-7B-Instruct serverlessly using Modal Labs for cost-efficient, scalable AI inference. This guide covers serverless benefits, cost savings, cold starts, and a step-by-step deployment process with Hugging Face Transformers.

SLM Journey Unveiled

SLM Journey Unveiled

Prem’s "SLM Journey Unveiled" details training a 1B parameter Small Language Model with 8K context length. It covers dataset challenges, Distributed Data Parallelism (DDP) with Ray, and optimization techniques for data partitioning and gradient synchronization.

The Synthetic Data Revolution

The Synthetic Data Revolution

This article delves into the emergence of synthetic data in AI, discussing its generation methods, applications across various data types, and its significance in overcoming data scarcity and privacy challenges, ultimately contributing to the pursuit of Artificial General Intelligence (AGI)

RAGs are cool, but what about their privacy?

RAGs are cool, but what about their privacy?

This article explores privacy concerns in Retrieval-Augmented Generation (RAG) applications, highlighting data protection challenges and offering actionable solutions to ensure secure and compliant AI systems while leveraging the benefits of RAG.