Unite.AI

AUGUST 6, 2024

State-of-the-art inference engines, optimized to reduce latency and improve throughput, lack direct knowledge of the workload, resulting in significant inefficiencies. A notable example is the reuse of the Key-Value (KV) cache, which consists of reusable intermediate tensors essential for generative inference. fork, join).

LLM 130

LLM Inference Engine Auto-complete Python 130

Mlearning.ai

JANUARY 28, 2023

From Sale Marketing Business 7 Powerful Python ML For Data Science And Machine Learning need to be use. This post will outline seven powerful python ml libraries that can help you in data science and different python ml environment. A python ml library is a collection of functions and data that can use to solve problems.

Data Science 52

Data Science Machine Learning ML Python 52

Marktechpost

OCTOBER 20, 2024

The dataset included 3.5TB of source code from various programming languages, ensuring the model could handle multiple languages, including Python, Java, C++, and JavaScript. The model was trained using a rigorous data collection pipeline that involved data crawling, cleaning, deduplication, and quality checks.

Large Language Models 111

Large Language Models Inference Engine Python Artificial Intelligence 111

Marktechpost

OCTOBER 15, 2024

It is a Python toolkit that provides a comprehensive set of evaluation metrics and a uniform interface for seamless integration with current TDA implementations. This calls for a unified framework for TDA evaluation (and beyond). The Fraunhofer Institute for Telecommunications has put forth Quanda to bridge this gap.

Explainability 56

Explainability Explainable AI Python Neural Network 56

Marktechpost

JULY 27, 2024

Because SGLang works with Python’s libraries and control flow, users may easily build sophisticated prompting processes using the language’s natural syntax. Both components can operate separately or in tandem for optimal performance. The team also presented a compiler and an interpreter for SGLang.

Inference Engine 114

Inference Engine LLM Software Development Python 114

Unite.AI

AUGUST 12, 2024

Deploying Flux as an API with LitServe For those looking to deploy Flux as a scalable API service, Black Forest Labs provides an example using LitServe, a high-performance inference engine. 1-schnell", subfolder="tokenizer_2", torch_dtype=torch.bfloat16) vae = AutoencoderKL.from_pretrained("black-forest-labs/FLUX.1-schnell",

Natural Language Processing 246

Natural Language Processing Generative AI Inference Engine AI Tools 246

Unite.AI

JUNE 21, 2024

Setup Python Virtual Environment Ubuntu 22.04 comes with Python 3.10. lib64 BNB_CUDA_VERSION=122 CUDA_VERSION=122 python setup.py The model is first parsed and optimized by TensorRT, which generates a highly optimized inference engine tailored for the specific model and hardware.

Deep Learning 130

Deep Learning Neural Network Convolutional Neural Networks Large Language Models 130

Marktechpost

JUNE 8, 2023

Python user programs can use the ReLM framework; ReLM exposes a specific API that these programs can use. A regular expression inference engine that effectively converts regular expressions to finite automata has been designed and implemented. They are the first group to use automata to accommodate these variant encodings.

Large Language Models 107

Large Language Models LLM Inference Engine AI 107

Towards AI

JULY 21, 2023

GitHub: Tencent/TurboTransformers Make transformers serving fast by adding a turbo to your inference engine!Transformer Instead of building a model from… github.com NERtwork Awesome new shell/python script that graphs a network of co-occurring entities from plain text! These 2 repos encompass NLP and Speech modeling.

NLP 98

NLP Natural Language Processing Inference Engine Chatbots 98

Mlearning.ai

JUNE 2, 2023

In order to tackle this, the team at Modular developed a modular inference engine. When state-of-the-art models are moved from the research phase to the production phase, developers are usually compelled to rewrite large portions of their models in more performing languages than Python, in order to meet the latency and cost targets.

Inference Engine 52

Inference Engine Python Machine Learning Neural Network 52

AWS Machine Learning Blog

APRIL 20, 2023

With advancements in hardware design, a wide range of CPU- and GPU-based infrastructures are available to help you speed up inference performance. Analyze the default and advanced Inference Recommender job results, which include ML instance type recommendation latency, performance, and cost metrics. sm_client = boto3.client("sagemaker",

ML 90

ML Auto-classification Python Auto-complete 90

AWS Machine Learning Blog

APRIL 3, 2023

The causal inference engine is deployed with Amazon SageMaker Asynchronous Inference. Conclusion This solution provides a blueprint for use cases where causal inference with Bayesian networks are the preferred methodology for answering causal questions from a combination of data and human inputs.

Inference Engine 93

Inference Engine Machine Learning Algorithm Data Scientist 93

deepsense.ai

APRIL 25, 2024

The document chunking step is conducted offline using Python scripts. Tech Stack Tech Stack Below, we provide a quick overview of the project, divided into research and inference sites. Methods and Tools Let’s start with the inference engine for the Small Language Model.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Inference Engine LLM 52

Mlearning.ai

JULY 9, 2023

launch() This Python script uses a HuggingFace Transformers library to load the tiiuae/falcon-7b-instruct model. LLM from a CPU-Optimized (GGML) format: LLaMA.cpp is a C++ library that provides a high-performance inference engine for large language models (LLMs). We leverage the python bindings for LLaMA.cpp to load the model.

Large Language Models 52

Large Language Models LLM Python Auto-complete 52

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

John Snow Labs

JULY 5, 2023

Serving as a high-performance inference engine, ONNX Runtime can handle machine learning models in the ONNX format and has been proven to significantly boost inference performance across a multitude of models. Our Models Hub now contains over 18,000+ free and truly open-source models & pipelines. LTS Databricks 13.1

NLP 52

NLP BERT LLM Natural Language Processing 52

Towards AI

JULY 19, 2023

Installation Installation is quite simple* Clone the library* Run installation script Support available for▹ Python — 3.6▹ With Monk, it is easier to do the same using simple pythonic syntax. Get over the hassles of changing codes and configurations to insert custom dataset for training. Cuda — 9.0, Runs on colab too!!!

Robotics 40

Robotics Computer Vision Deep Learning Inference Engine 40

Bugra Akyildiz

SEPTEMBER 8, 2024

👷 The LLM Engineer focuses on creating LLM-based applications and deploying them. DataDreamer is a powerful open-source Python library for prompting, synthetic data generation, and training workflows. Differential Language Analysis ToolKit DLATK is an end to end human text analysis package for Python 3.

LLM 52

LLM Large Language Models Neural Network Machine Learning 52

AWS Machine Learning Blog

DECEMBER 2, 2024

dkr.ecr.amazonaws.com/huggingface-pytorch-tgi-inference:2.4.0-tgi2.4.0-gpu-py311-cu124-ubuntu22.04-v2.0", On SageMaker, Triton offers a comprehensive serving stack with support for various backends, including TensorRT, PyTorch, Python, and more. gpu-py311-cu124-ubuntu22.04-v2.0",

Generative AI 91

Generative AI Machine Learning Large Language Models ML Engineer 91

AWS Machine Learning Blog

NOVEMBER 26, 2024

You can reattach to your Docker container and stop the online inference server with the following: docker attach $(docker ps --format "{{.ID}}") Create a file for using the offline inference engine: cat > offline_inference.py <<EOF from vllm.entrypoints.llm import LLM from vllm.sampling_params import SamplingParams # Sample prompts.

LLM 89

LLM AI AI Artificial Intelligence 89

Marktechpost

OCTOBER 27, 2024

A community-driven benchmark on Reddit highlights NotebookLlama’s effectiveness in generating insightful commentary for complex Python scripts, achieving over 90% accuracy in generating meaningful docstrings. Conclusion Meta’s NotebookLlama is a significant step forward in the world of open-source AI tools.

Inference Engine 139

Inference Engine Large Language Models Software Development Data Analysis 139

Towards AI

JULY 19, 2023

DeepSparse: a CPU inference engine for sparse models. Sparsify: a UI interface to optimize deep neural networks for better inference performance. Their infrastructure is built on top of FastAPI and supports Python, Go and Ruby languages. Follow their code on GitHub. SparseZoo: a model repo for sparse models. torch==1.2.0…

NLP 98

NLP Neural Network Natural Language Processing BERT 98

Towards AI

JULY 21, 2023

DeepSparse: a CPU inference engine for sparse models. Sparsify: a UI interface to optimize deep neural networks for better inference performance. Their infrastructure is built on top of FastAPI and supports Python, Go and Ruby languages. Follow their code on GitHub. SparseZoo: a model repo for sparse models. torch==1.2.0…

NLP 52

NLP Neural Network Natural Language Processing BERT 52

Marktechpost

OCTOBER 28, 2024

The proposed method introduces GeoCoder, a VLM fine-tuned to solve geometry problems by generating modular Python code that references a predefined geometry function library. GeoCoder and RAG-GeoCoder achieve over a 16% performance boost on geometry tasks, demonstrating enhanced reasoning and interpretability on complex multimodal datasets.

Inference Engine 60

Inference Engine Python ML AI 60