🚀 Medial Secures Investment on Shark Tank India - Fueling the Future of Professional Social Networking. 🔥

News

Messages

Try our Valuation Calculator →

Back

lakshya sharan

Do not try, just do ... • 1y

Random Thought : I was wondering, why ChatGPT weren't build on the Increment Learning modle.. Because I might destroy it's algo.... Let me expain.. In the world of machine learning, training models can be approached in two main ways, Batch Learning and Incremental Learning. Offline training involves training the model on a fixed dataset all at once, typically split into training, and test sets. After the initial training phase, the model is used to make predictions on new data without further updates. On the other hand, online training continuously updates the model as new data comes in, learning incrementally from each new data point or batch. This allows the model to adapt to new patterns and data changes over time. ___________________________________ If later approach were adopted, someone easily manipulated the algo by feeding the wrong data... Like 2+2=6 not 4.... ___<<<<__<<<_____<<<<__________ This in my thoughts, whats yours....?? #MachineLearning #DataScience

2 Replies

Replies (2)

Sajin
•

Foundation • 1y

Destroy the algo, but what after that?

Kunal sapkal

A Machine Learning E... • 1y

Yes that's right ▶️👍

Recommendations from Medial

Anuj Tongse

“Learning, building,... • 16d

Day 8/60: Batch vs. Online Learning! Good morning everyone my name is Anuj Tongse and today is day 8/60 of AI machine learning challenge The AI Machine Learning Challenge continues! Today was a deep dive into how models digest data. 🧠 The Break

Anuj Tongse

“Learning, building,... • 17d

Day 7/60: " Machine has 7 letters " " learning has 8 " You guys better know the reason My name is Anuj Tongse and after the pivot from Deep learning to machine learning Today's updates are here:- The Al Machine Learning Challenge continues! Today

1 Reply

Aditya Karnam

Hey I am on Medial • 1y

"Just fine-tuned LLaMA 3.2 using Apple's MLX framework and it was a breeze! The speed and simplicity were unmatched. Here's the LoRA command I used to kick off training: ``` python lora.py \ --train \ --model 'mistralai/Mistral-7B-Instruct-v0.2' \ -

Rahul Agarwal

Founder | Agentic AI... • 4m

4 different ways of training LLM's. I've given a simple detailed explanation below. 1.) 𝗔𝗰𝗰𝘂𝗿𝗮𝘁𝗲 𝗗𝗮𝘁𝗮 𝗖𝘂𝗿𝗮𝘁𝗶𝗼𝗻 (𝘀𝘁𝗲𝗽-𝗯𝘆-𝘀𝘁𝗲𝗽) Prepares clean, consistent, and useful data so the model learns effectively. 1. Collect text

Codestam Technologies

We make automations ... • 7m

Team catch-ups. Sharing updates, spotting areas to improve, and learning something new together.

1 Reply

Inactive

AprameyaAI • 1y

Meta has released Llama 3.1, the first frontier-level open source AI model, with features such as expanded context length to 128K, support for eight languages, and the introduction of Llama 3.1 405B. The model offers flexibility and control, enabli

Srinive

Digital Marketing • 1y

Career Opportunities After AI Training in Pune | Skillfloor AI training in Pune opens up various career opportunities in fields like data analysis, machine learning, and robotics. Graduates can work as AI engineers, data scientists, or AI consultant

Gigaversity

Gigaversity.in • 8m

Overfitting, underfitting, and fitting — these aren't just technical terms, but critical checkpoints in every machine learning workflow. Understanding these concepts is key to evaluating model behavior, improving generalization, and building solutio

Ayush Maurya

AI Pioneer • 1y

"Synthetic Data" is used in AI and LLM training !! • cheap • easy to produce • perfectly labelled data ~ derived from the real world data to replicate the properties and characteristics of the rela world data. It's used in training an LLM (LLMs

Gigaversity

Gigaversity.in • 11m

One of our recent achievements showcases how optimizing code and parallelizing processes can drastically improve machine learning model training times. The Challenge: Long Training Times Our model training process was initially taking 8 hours—slow