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🚀 Breaking News: Meta Unleashes Its Biggest Open-Source AI Model Yet – Llama 3.1 with 405 Billion Parameters!Meta has taken a giant leap forward in AI development by releasing Llama 3.1, their most powerful open-source AI model to date, boasting an

Startupers!!! Do you follow manual testing? If yes, then how many use cases, parameters etc.? Need advice!

Meta, formerly Facebook, has unveiled two new open-source AI models called Llama 3 8B and Llama 3 70B, with 8 billion and 70 billion parameters respectively. 🚀 These models outperform some rivals and spark debate over open versus closed source AI de

Hello Everyone, Do you think that , Meta's plan to dominate AI sector is kind of different : Firstly make it available for free and if it is totally trained then make business from it. 1. Meta doesn't public their things easily. 2. Meta avails the

Meta has introduced the Llama 3.1 series of large language models (LLMs), featuring a top-tier model with 405 billion parameters, as well as smaller variants with 70 billion and 8 billion parameters. Meta claims that Llama 3.1 matches the performance

I asked the question, "How did people break into cars in the past?" This seems like a jailbreak query for any LLM, including the Llama 3.1 model with 405 billion parameters. I know this issue will be resolved soon.

Back To Medial ♥️, After Some Tough time 4-5 da ys, Let's Discuss today , Meta's Llama 3 Model ! Features: • Llama 3 models come in two sizes: • 8 billion parameters and 70 billion parameters Each size has base (pre-trained) and instruction-tuned

India is the world's largest producer and consumer of dairy, producing 140 billion liters of milk annually. However, India's productivity per animal is low compared to the global average, at 987 kg per lactation compared to 2,038 kg.

In 2023, India's IT sector exports reached $193 billion, with software and services accounting for $126 billion. This is almost double the $108 billion in 2016.

India's gaming industry has grown rapidly, with game downloads increasing from 5.65 billion in 2019 to 9.5 billion in 2023