Unite.AI

JUNE 21, 2024

Accelerating LLM Inference with NVIDIA TensorRT While GPUs have been instrumental in training LLMs, efficient inference is equally crucial for deploying these models in production environments. Setup Python Virtual Environment Ubuntu 22.04 comes with Python 3.10. Accelerating LLM Training with GPUs and CUDA.

Deep Learning 130

Deep Learning Neural Network Convolutional Neural Networks Large Language Models 130

Mlearning.ai

JULY 9, 2023

One of the biggest challenges of using LLMs is the cost of accessing them. Many LLMs, such as OpenAI’s GPT-3, are only available through paid APIs. Learn how to deploy any open-source LLM as a free API endpoint using HuggingFace and Gradio. Many LLMs, such as OpenAI’s GPT-3, are only available through paid APIs.

Large Language Models 52

Large Language Models LLM Python Auto-complete 52

deepsense.ai

APRIL 25, 2024

Benefits of SLMs on Edge Devices In this section, we present three compelling reasons why companies may find Small Language Model (SLM) applications preferable to their cloud-heavy Large Language Model (LLM) counterparts: Cost Reduction The expense of cloud inference for Large Language Models can be prohibitive.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Inference Engine LLM 52

John Snow Labs

JULY 5, 2023

With this support, you can look forward to faster inference, automatic optimization, and quantization when exporting your LLM models. Additionally, we are also set to release an array of new LLM models fine-tuned specifically for chat and instruction, now that we have successfully integrated ONNX Runtime into Spark NLP.

NLP 52

NLP BERT LLM Natural Language Processing 52

Bugra Akyildiz

SEPTEMBER 8, 2024

🧑‍🔬 The LLM Scientist focuses on building the best possible LLMs using the latest techniques. 👷 The LLM Engineer focuses on creating LLM-based applications and deploying them. . 👷 The LLM Engineer focuses on creating LLM-based applications and deploying them.

LLM 52

LLM Large Language Models Neural Network Machine Learning 52

AWS Machine Learning Blog

DECEMBER 2, 2024

In this post, we explore the new Container Caching feature for SageMaker inference, addressing the challenges of deploying and scaling large language models (LLMs). We discuss how this innovation significantly reduces container download and load times during scaling events, a major bottleneck in LLM and generative AI inference.

Generative AI 107

Generative AI Machine Learning Large Language Models AI 107

AWS Machine Learning Blog

NOVEMBER 26, 2024

The use of large language models (LLMs) and generative AI has exploded over the last year. With the release of powerful publicly available foundation models, tools for training, fine tuning and hosting your own LLM have also become democratized. top_p=0.95) # Create an LLM. llm = LLM(model="meta-llama/Llama-3.2-1B",

LLM 105

LLM AI AI Artificial Intelligence 105

ODSC - Open Data Science

JANUARY 15, 2025

Please join me at my ODSC workshop on Jan 15th for a deeper dive on turbo LoRA, as well as a few other innovative features of Predibases next-gen inference engine that collectively enhance the deployment ofSLMs. We made fine-tuning super easy but also flexible for advanced users to configure different settings.

Auto-complete 52

Auto-complete Large Language Models Inference Engine Machine Learning 52

Marktechpost

OCTOBER 27, 2024

NotebookLlama integrates large language models directly into an open-source notebook interface, similar to Jupyter or Google Colab, allowing users to interact with a trained LLM as they would with any other cell in a notebook environment. If you like our work, you will love our newsletter. Don’t Forget to join our 55k+ ML SubReddit.

Inference Engine 139

Inference Engine Large Language Models Software Development AI 139