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72 results

LowCodeAIForTheWin
State of Vision Models - are they any good? Evaluating results from test pipeline in KNIME

In this video, the current state large language models (LLMs) with vision capabilities is explored with regards to potential for ...

29:54
State of Vision Models - are they any good? Evaluating results from test pipeline in KNIME

105 views

1 year ago

The Machine Learning Engineer
LLM,s:  CoT Evaluation DeepSeek R1 1.B, Phi3.5 3.8B and LLama 3.2 3B #datascience  #machinelearning

In this video we are going to evaluate the logical and mathematical reasoning and calculation capabilities of 3 models, DeepSeek ...

26:05
LLM,s: CoT Evaluation DeepSeek R1 1.B, Phi3.5 3.8B and LLama 3.2 3B #datascience #machinelearning

124 views

1 year ago

The Machine Learning Engineer
LLM,s: Design Prompt Templates for  DeepSeek R1 1.5B & Phi3.5 3.8B #datascience  #machinelearning

In this video we are going to see how to design templates to prompt LLM,s. We will use DeepSeek R1 1.5B and Microsoft Phi3.5 ...

37:21
LLM,s: Design Prompt Templates for DeepSeek R1 1.5B & Phi3.5 3.8B #datascience #machinelearning

129 views

1 year ago

The Machine Learning Engineer
MLOps MLFlow:  Crafting OpenVino Models with MLflow.   #datascience  #machinelearning

In this video we are going to see how to convert a Phi3.5 vision Instruct Model to Openvino IR format and then compress it to Int4 ...

40:02
MLOps MLFlow: Crafting OpenVino Models with MLflow. #datascience #machinelearning

67 views

1 year ago

Jake Grim
How To Run AI On Raspberry Pi 5 With Ollama

About Video: Learn to run AI large language models on a Raspberry Pi, specifically Phi 3.5 using Ollama. Then learn how to use ...

10:40
How To Run AI On Raspberry Pi 5 With Ollama

40,574 views

10 months ago

The Machine Learning Engineer
LLM,s: Evaluación CoT DeepSeek, Phi3.5  y LLama 3.2t  (Español) #datascience  #machinelearning

En Este vídeo vamos a evaluar las capacidades de razonamiento y calculo lógico y matemático de 3 modelos , DeepSeek R1 ...

37:02
LLM,s: Evaluación CoT DeepSeek, Phi3.5 y LLama 3.2t (Español) #datascience #machinelearning

75 views

1 year ago

The Machine Learning Engineer
RAG: E2E Application. Speak with your Unstructured Data Part 3 #machinelearning  #datascience

This video , is the 3 of 3, we are going to create an E2E Rag application which showcases diferent use and Integrations of ...

30:29
RAG: E2E Application. Speak with your Unstructured Data Part 3 #machinelearning #datascience

52 views

1 year ago

Jake Grim
How To Make A Private AI Server On Raspberry PI W/ ALL AI Models | Ollama + Open WebUI + LiteLLM

This tutorial guides you through setting up a Raspberry Pi to run local AI models like Phi and Gemma with Ollama, while using ...

12:30
How To Make A Private AI Server On Raspberry PI W/ ALL AI Models | Ollama + Open WebUI + LiteLLM

12,841 views

10 months ago

The Machine Learning Engineer
RAG: E2E Application. Speak with your Unstructured Data Part 2 #machinelearning  #datascience

This video , is the second of 3, we are going to create an E2E Rag application which showcases diferent use and Integrations of ...

1:08:13
RAG: E2E Application. Speak with your Unstructured Data Part 2 #machinelearning #datascience

61 views

1 year ago

The Machine Learning Engineer
LLM,s: Diseñar  Prompt Templates  DeepSeek 1.5 y Phi3.5 3.8(Español) #datascience  #machinelearning

En Este vídeo vamos a ver como diseñar templates para instruir a un LLM. Usaremos DeepSeek R1 1.5B y Microsoft Phi3.5 3.8B ...

25:10
LLM,s: Diseñar Prompt Templates DeepSeek 1.5 y Phi3.5 3.8(Español) #datascience #machinelearning

111 views

1 year ago

The Machine Learning Engineer
Prompt Engineering:  Mistral 7B  (Técnicas creación de Instrucciones) #machinelearning #datascience

En este tutorial , te voy a explicar Las diferentes técnicas para crear instrucciones como Zero Shot, Few Shot Prompting, CoT or ...

43:13
Prompt Engineering: Mistral 7B (Técnicas creación de Instrucciones) #machinelearning #datascience

94 views

2 years ago

The Machine Learning Engineer
MLOps MLFlow:  Integrar OpenVino Models con MLflow.   Español  #datascience  #machinelearning

En este vídeo vamos a ver como Convertir un Modelo Phi3.5 vision Insturct a formato IR de Openvino y luego lo comprimiremos a ...

52:16
MLOps MLFlow: Integrar OpenVino Models con MLflow. Español #datascience #machinelearning

71 views

1 year ago

Hair Solutions
Hair Finishing Cream ( flash moment stick )

WELLACOLOR #HAIRSOLUTION #HAIRCOLORCLASS the finishing cream-------- https://amzn.to/2Nwxicu ...

20:50
Hair Finishing Cream ( flash moment stick )

6,700 views

Streamed 5 years ago

The Machine Learning Engineer
RAG: E2E App. Habla con tu data no estructurada Parte 1 (Español) #machinelearning  #datascience

Este vídeo es la parte 1 de una serie de 3. En el veremos como crear una aplicación de principio a fin en la que crearemos un ...

59:35
RAG: E2E App. Habla con tu data no estructurada Parte 1 (Español) #machinelearning #datascience

337 views

1 year ago

The Machine Learning Engineer
RAG: E2E App. Habla con tu data no estructurada Parte 2 (Español) #machinelearning  #datascience

Este vídeo es la parte 2 de una serie de 3. En el veremos como crear una aplicación de principio a fin en la que crearemos un ...

1:18:38
RAG: E2E App. Habla con tu data no estructurada Parte 2 (Español) #machinelearning #datascience

176 views

1 year ago

정필규 세리일기 & 유레카 당구 & 호기심 당구
ComfyUI SUPERCHARGED _ 무작정 따라하기 _ URL 참고 _ 이미지 만들기와 변화주기 _ 작업 결과 보기

참고 동영상 : Supercharging ComfyUI: Integrating LLMs with Ollama for Advanced and enhanced prompts.

13:42
ComfyUI SUPERCHARGED _ 무작정 따라하기 _ URL 참고 _ 이미지 만들기와 변화주기 _ 작업 결과 보기

65 views

1 year ago

Doubtnut
The magnetic flux linked with a coil is `phi = (3 t^(2) - 2 t + 1)` milliweber. The e.m.f. induced i

The magnetic flux linked with a coil is `phi = (3 t^(2) - 2 t + 1)` milliweber. The e.m.f. induced in the coil at t = 1 sec is.

1:49
The magnetic flux linked with a coil is `phi = (3 t^(2) - 2 t + 1)` milliweber. The e.m.f. induced i

915 views

5 years ago

The Machine Learning Engineer
RAG: E2E App. Habla con tu data no estructurada Parte 3 (Español) #machinelearning  #datascience

Este vídeo es la parte 2 de una serie de 3. En el veremos como crear una aplicación de principio a fin en la que crearemos un ...

31:22
RAG: E2E App. Habla con tu data no estructurada Parte 3 (Español) #machinelearning #datascience

85 views

1 year ago

Zor Shekhtman on UNIZOR Education
Unizor - Trigonometry - Equations - Problems 1

1. Solve the following trigonometric equation: sin(x) + cos(x) = a Hint: Multiply all members of an equation by √2/2 Answer: π/4 ...

37:34
Unizor - Trigonometry - Equations - Problems 1

168 views

12 years ago

NorthStation FunGaming
Marvel Ultimate Alliance 3 - Chapter 5 Xavier Institute

Hi guys and welcome to NorthStation. Marvel Ultimate Alliance 3: The Black Order is a video game developed by Koei Tecmo's ...

45:36
Marvel Ultimate Alliance 3 - Chapter 5 Xavier Institute

90 views

6 years ago