#Parameter

[tenth-sentence]

The two parameters are the organic matter-water partition coefficient (KOM) and the octanol-water partition coefficient (KOW).

"Environmental Chemistry: A Global Perspective", 4e - Gary W. VanLoon & Stephen J. Duffy

[govindhtech]

Mistral NeMo: Powerful 12 Billion Parameter Language Model

Mistral NeMo 12B

Today, Mistral AI and NVIDIA unveiled Mistral NeMo 12B, a brand-new, cutting-edge language model that is simple for developers to customise and implement for enterprise apps that enable summarising, coding, a chatbots, and multilingual jobs.

The Mistral NeMo model provides great performance for a variety of applications by fusing NVIDIA’s optimised hardware and software ecosystem with Mistral AI‘s training data knowledge.

Guillaume Lample, cofounder and chief scientist of Mistral  AI, said, “NVIDIA is fortunate to collaborate with the NVIDIA team, leveraging their top-tier hardware and software.” “With the help of NVIDIA  AI Enterprise deployment, They have created a model with previously unheard-of levels of accuracy, flexibility, high efficiency, enterprise-grade support, and security.”

On the NVIDIA DGX Cloud AI platform, which provides devoted, scalable access to the most recent NVIDIA architecture, Mistral NeMo received its training.

The approach was further advanced and optimised with the help of NVIDIA TensorRT-LLM for improved inference performance on big language models and the NVIDIA NeMo development platform for creating unique generative AI models.

This partnership demonstrates NVIDIA’s dedication to bolstering the model-builder community.

Providing Unprecedented Precision, Adaptability, and Effectiveness

This enterprise-grade AI model performs accurately and dependably on a variety of tasks. It excels in multi-turn conversations, math, common sense thinking, world knowledge, and coding.

Mistral NeMo analyses large amounts of complicated data more accurately and coherently, resulting in results that are relevant to the context thanks to its 128K context length.

Mistral NeMo is a 12-billion-parameter model released under the Apache 2.0 licence, which promotes innovation and supports the larger  AI community. The model also employs the FP8 data format for model inference, which minimises memory requirements and expedites deployment without compromising accuracy.

This indicates that the model is perfect for enterprise use cases since it learns tasks more efficiently and manages a variety of scenarios more skillfully.

Mistral NeMo provides performance-optimized inference with NVIDIA TensorRT-LLM engines and is packaged as an NVIDIA NIM inference microservice.

This containerised format offers improved flexibility for a range of applications and facilitates deployment anywhere.

Instead of taking many days, models may now be deployed anywhere in only a few minutes.

As a component of NVIDIA  AI Enterprise, NIM offers enterprise-grade software with specialised feature branches, stringent validation procedures, enterprise-grade security, and enterprise-grade support.

It offers dependable and consistent performance and comes with full support, direct access to an NVIDIA  AI expert, and specified service-level agreements.

Businesses can easily use Mistral NeMo into commercial solutions thanks to the open model licence.

With its compact design, the Mistral NeMo NIM can be installed on a single NVIDIA L40S, NVIDIA GeForce RTX 4090, or NVIDIA RTX 4500 GPU, providing great performance, reduced computing overhead, and improved security and privacy.

Cutting-Edge Model Creation and Personalisation

Mistral NeMo’s training and inference have been enhanced by the combined knowledge of NVIDIA engineers and Mistral  AI.

Equipped with Mistral AI’s proficiencies in multilingualism, coding, and multi-turn content creation, the model gains expedited training on NVIDIA’s whole portfolio.

Its efficient model parallelism approaches, scalability, and mixed precision with Megatron-LM are designed for maximum performance.

3,072 H100 80GB Tensor Core GPUs on DGX  Cloud, which is made up of NVIDIA  AI architecture, comprising accelerated processing, network fabric, and software to boost training efficiency, were used to train the model using Megatron-LM, a component of NVIDIA NeMo.

Availability and Deployment

Mistral NeMo, equipped with the ability to operate on any cloud, data centre, or RTX workstation, is poised to transform  AI applications on a multitude of platforms.

NVIDIA thrilled to present Mistral NeMo, a 12B model created in association with NVIDIA, today. A sizable context window with up to 128k tokens is provided by Mistral NeMo. In its size class, its logic, domain expertise, and coding precision are cutting edge. Because Mistral NeMo is based on standard architecture, it may be easily installed and used as a drop-in replacement in any system that uses Mistral 7B.

To encourage adoption by researchers and businesses, we have made pre-trained base and instruction-tuned checkpoints available under the Apache 2.0 licence. Quantization awareness was incorporated into Mistral NeMo’s training, allowing for FP8 inference without sacrificing performance.

The accuracy of the Mistral NeMo base model and two current open-source pre-trained models, Gemma 2 9B and Llama 3 8B, are compared in the accompanying table.Image Credit to Nvidia

Multilingual Model for the Masses

The concept is intended for use in multilingual, international applications. Hindi, English, French, German, Spanish, Portuguese, Chinese, Japanese, Korean, Arabic, and Spanish are among its strongest languages. It has a big context window and is educated in function calling. This is a fresh step in the direction of making cutting-edge  AI models available to everyone in all languages that comprise human civilization.Image Credit to Nvidia

Tekken, a more efficient tokenizer

Tekken, a new tokenizer utilised by Mistral NeMo that is based on Tiktoken and was trained on more than 100 languages, compresses source code and natural language text more effectively than SentencePiece, the tokenizer used by earlier Mistral models. Specifically, it has about a 30% higher compression efficiency for Chinese, Italian, French, German, Spanish, and Russian source code. Additionally, it is three times more effective at compressing Arabic and Korean, respectively. For over 85% of all languages, Tekken demonstrated superior text compression performance when compared to the Llama 3 tokenizer.Image Credit to Nvidia

Instruction adjustment

Mistral NeMO went through a process of advanced alignment and fine-tuning. It is far more adept at reasoning, handling multi-turn conversations, following exact directions, and writing code than Mistral 7B.

Read more on govindhtech.com

[jamrmed]

Multi-Parameter Equipment

Our multi parameter vital signs monitor is a cutting-edge device designed to provide comprehensive health monitoring. With its advanced technology, this equipment is capable of detecting various cardiovascular parameters, ensuring a thorough assessment of an individual's health status.

Types of neonatal multi parameter monitor in Jamr

Our multi-parameter equipment integrates essential vital sign monitoring functions, such as blood pressure measurement, heart rate monitoring, oxygen saturation levels, ECG testing, AFib detection, and atherosclerosis detection. This comprehensive multi-parameter vital signs monitor allows healthcare providers to efficiently monitor multiple aspects of a patient’s health simultaneously, saving valuable time and resources. With accurate and real-time data, healthcare professionals can make informed decisions and deliver comprehensive care to their patients.

Important Parameters of Cardiovascular Health

Identifying potential issues of cardiovascular health is crucial for maintaining a healthy heart. There are several important parameters that healthcare professionals use to assess the risk of cardiovascular disease. These include blood pressure, ECG, SpO2, AFib, and arteriosclerosis.

Blood pressure is a measure of the force of blood against the walls of arteries and is a critical indicator of heart health. SpO2 is a measure of the oxygen saturation level in the blood and is used to assess respiratory function. ECG is a test that records the electrical activity of the heart and can detect abnormalities in heart rhythm. AFib, or atrial fibrillation, is a type of irregular heartbeat that can lead to blood clots and stroke. Arteriosclerosis is a condition in which the arteries become narrow and hardened, which can increase the risk of heart attack and stroke.

By monitoring these parameters, healthcare professionals can identify potential issues with cardiovascular health and develop treatment plans to prevent or manage cardiovascular disease. It is important for individuals to schedule regular check-ups with their healthcare provider to ensure that their heart is healthy and functioning properly.

[zeeshanamjad]

Values passing in HTTP call

In HTTP request, parameter can be passed in more than one way. For GET request, we can pass value by either query parameter, path parameter or header. For POST or PUT we can even pass it in the body. Let’s focus on the GET request and see how can we pass values in different ways. We already saw the example of query passing here…

[mydigitalcreations]

Customize a Tk Window

[creative-sz]

Multiparameter Patient Monitors

Lepu Portable Patient Monitors are designed to be compact and lightweight, making them easy to transport and use in various healthcare settings. They typically feature a built-in rechargeable battery, allowing for continuous monitoring even in remote or emergency situations.

Lepu Multiparameter Patient Monitors Types

Lepu Medical Grade AIView VX Tablet Patient Monitor Portable Multiparameter Monitor Vital Signs Monitor with Touch Screen for Hospital Clinic Ward and Home Use

Lepu AIView VX has a minimalist and unique design, advanced technology, and innovative patented design to streamline caregivers' workflow and improve work efficiency.

Lepu Medical AiView V12 Multiparameter Patient Monitor Portable All-in-one Vital Signs Monitor with AI Analysis Diagnosis Touch Screen for Hospital ICU Clinical Ambulance and Home Use

Lepu's latest generation of AI intelligent multi-parameter monitors, available in both 13.3-inch (V12) and 11.6-inch (V10) versions, feature a hardware design optimized for ergonomics, as well as a software design optimized for flat interactive experiences. These monitors are able to meet the unique needs of various hospital departments, greatly transforming the working modes of medical staff and delivering an unparalleled user experience.

Lepu Medical Grade K15/K12/K10 All-in-one Patient Monitor Portable Multiparameter Monitor with Touch Screen for Hospital ICU Clinical Home

15"/12"/10.4" high-resolution display touch screen. Comprehensive calculations for clinical application.

[devsnews]

Adding default values to function parameters makes your code more concise, readable, and robust. Default values allow you to specify a fallback value for a parameter in case the caller does not provide one. This can help you avoid errors, such as undefined variables or type mismatches, and simplify the logic of your function. Unfortunately, the go programming language does not have this feature by default. This article will show you how to do that in Go.

[passionframework]

Some equations remain unequal

Fred has a deep penchant for solving mathematical problem His friend Jose comes up with a problem statement Assumptions Male=Female Dog=Cat Teacher=Preacher Prove inequality in all of these formulaes Fred is confused… Fred ‘this is not a mathematical problem in first place… how can you put Male=Female and Dog=Cat… to large extent we have Teacher=Preacher so obviously Male <> Female, Dog…

[eliteprepsat]

[don-lichterman]

Tackling large data sets and many parameter problems in particle physics -- ScienceDaily

Tackling large data sets and many parameter problems in particle physics — ScienceDaily

One of the major challenges in particle physics is how to interpret large data sets that consist of many different observables in the context of models with different parameters. A new paper published in EPJ Plus, authored by Ursula Laa from the Institute of Statistics at BOKU University, Vienna, and German Valencia from the School of Physics and Astronomy, Monash University, Clayton, Australia,…