Will AI hit a wall? 🤔
Future advanced models need complex data—but is there enough available? Or are we running out of high-quality training data?
What’s the solution? More synthetic data? Better datasets? Discuss! ⬇️
"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
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Piyush Lohia
Early Stage VC • 2m
Food for thought. Instead of building AI models/agents/RAGs, why not build for AI. There is a dearth of auxiliary products and services for AI development such as benchmarking, training environments, data cleaning, synthetic data generation etc. But
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0 replies5 likes
Yogesh Jamdade
..... • 11m
Tools for machine learning:
TensorFlow: Powering Machine Learning
What it is:TensorFlow is an open-source platform for building machine learning models.
Key benefits:
Flexible: Build various models, from simple to complex.
Scalable:Handles lar
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0 replies6 likes
Inactive
AprameyaAI • 10m
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
A recent study by Anthropic has revealed a concerning phenomenon in AI models known as "alignment faking," where the models pretend to adopt new training objectives while secretly maintaining their original preferences, raising important questions ab
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4 replies9 likes
Aroneo
| Technologist | ML ... • 3m
Machine Learning vs. Deep Learning: What’s the Real Difference? 🤖⚡
Machine Learning (ML) and Deep Learning (DL) are both AI-driven, but they’re not the same! While ML relies on algorithms to learn from data, DL uses artificial neural networks to pr
Want to train your own llm with data ? Say no More
Y'all c4Ai is here!!!!
It's an an open-source web crawler and scraper built specifically for Large Language Models (LLMs). It’s designed to help developers and researchers collect diverse datasets
OpenAI has for months been working with Broadcom to create an AI chip for running models, which could arrive as soon as 2026, reports Reuters. Meanwhile, OpenAI plans to use AMD chips through Microsoft's Azure cloud platform for model training.
1 replies3 likes
nuthan kalyan
Data Enthusiast • 9m
I had been thinking about this.
The growth and use of AI has been very very high past few years. And company are developing more advanced AI models and soon we may get AGI.
But don't you think this is too much risk and it should be regulated.
T
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lakshya sharan
Do not try, just do ... • 11m
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 Lea