Resource of free step by step video how to guides to get you started with machine learning.
Friday, April 26, 2024
Building Your Own Private GenAI Chatbot With Java Tools – A Step-by-Step Adventure
In today's software development world, several machine learning (ML) tools empower developers to craft private chatbots that cater to various needs. These chatbots harness the capabilities of large language models (LLMs) trained on confidential document sets on your local machine or enterprise data repositories. They enable you to engage with these document sets, from summarizing emails and meeting notes to gauging sentiment, extracting dates and names from websites, pre-screening resumes, and performing many other tasks. But most of these systems are Python-based. While Python is a formidable stream-of-consciousness programming language for ML, many software developers operate within the Java ecosystem, especially within large organizations prioritizing Java for robust and reliable production deployments. This presentation focuses on Java-centric tools to construct tuned assistant systems. Speaker: Frank Greco, Chairman at NYJavaSIG Frank Greco is a Java Champion and enterprise architect primarily focused on artificial intelligence, machine learning, cloud, and mobile/edge computing. He is an educator, technology manager, frequent writer, and author, and he has made visible achievements in strategic technology/business partnerships, enterprise infrastructure, and emerging technologies, particularly for financial systems and large enterprises. He is currently a senior technology consultant for a huge search company. Frank is the co-author of JSR # 318, the Visual Recognition Machine Learning API for Java. He is a frequent global speaker at major technology trade shows such as QCon, DevNexus, Jfokus, Devoxx, Technology Transfer International, JavaOne, etc. Join us: Website: https://jb.gg/website Blog: https://jb.gg/blog Twitter: https://twitter.com/intellijidea Facebook: https://www.facebook.com/IntelliJIDEA/ Download IntelliJ IDEA: https://jb.gg/download-intellij-idea Top 15 IntelliJ IDEA shortcuts: https://jb.gg/Top15IntelliJIDEAShortcuts #ai #chatbot #jetbrains #inetllijidea #intellijideaconf
Subscribe to:
Post Comments (Atom)
-
Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow) [Collection] In a special live ep...
-
Quick answer: Qwen 3 32B needs about 22.7 GB of VRAM at Q4_K_M with a 4k-token context — a used 24 GB card like the RTX 3090 is the minimu...
-
Inside TensorFlow: Summaries and TensorBoard [Collection] Take an inside look into the TensorFlow team’s own internal training sessions-...
-
Hey everyone This is Ujjwal kapil B.tech 2nd year Ai and Ml In this video we covered one of the most important question "COLLEGE KAB O...
-
Quick answer: DeepSeek V4 Flash is a Mixture-of-Experts model: all 284 billion parameters must be stored, so combined RAM plus VRAM — not ...
-
This video is a crash course on understanding how finetuning on LLM models can be performed uing QLORA,LORA, Quantization using LLama2, Grad...
-
In this video, you'll learn how to use machine learning, computer vision and deep learning to create a football analysis system. This pr...
-
Quick answer: For most learners, the best single machine learning book is Hands-On Machine Learning with Scikit-Learn, Keras & Tensor...
-
#minecraft #neuralnetwork #backpropagation I built an analog neural network in vanilla Minecraft without any mods or command blocks. The n...
-
Quick answer: For an 8B model at Q4, local electricity costs roughly $0.05 per million output tokens — against about $0.53 per million ble...
No comments:
Post a Comment