LLAMA 3- The High-Tide of Next-Gen Open Source LLMs - USAII

1. LL THE NEXT-GEN OPEN SOURCE LLMS AMA HIGH-TIDE 3 - OF © Copyright 2024. United States Artificial Intelligence Institute. All Rights Reserved. WWW.USAII.ORG

2. Meta debuted an updated version of the LLaMA AI model with an ideal belief of bringing forth a multimodal large language model (LLM); capable of accessing texts, images, videos, and even generating outputs in a diversified format. Meta aims to build the models as multilingual with larger context windows; inferring that they can be fed ample amounts of data to analyze or summarize. Meta has introduced two open-source LLaMA 3 models for outside developers to use without cost. Currently, you can pick from an 8-billion parameter model and a 70-billion parameter. These are accessible on all major cloud providers. Generative AI USD The global 66.6 billion in 2024; the United States is expected to become the largest market with USD 11.66 billion This has given way to astounding enhancements in AI chatbot tech and many other technologies. Let us beat the track and get to the deepest realms of the latest in Meta LLaMA 3. market is projected to be this year (Statista). large language model © Copyright 2024. United States Artificial Intelligence Institute. All Rights Reserved. WWW.USAII.ORG

3. New to LLaMA 3? Understanding the meaning: LLaMA 3 is a great example of how quickly the AI models are scaling. LLaMA 3 will have over 400 billion parameters; way above LLaMA 2. LLaMA 3 is an intelligent assistant that expands the ways people can get things done, create, and connect with Meta AI. You can experience first-hand the performance of LLaMA 3 by using Meta AI for coding tasks and problem-solving. New Capabilities on display: Popular LLaMA 3 Facts Ÿ Meta introduces four new models based on LLaMA 2 architecture; available in 2 sizes- 8 billion and 70 billion; coupled with a base model and an instruction-tuned version to enhance performance. Ÿ LLaMA 3 powers Meta AI; being available on Facebook, WhatsApp, Instagram, and Messenger; yielding a higher search engine experience. Ÿ All versions of LLaMA 3 support a context length of 8000 tokens, facilitating more extended interactions and more complex input handling as against the previous models. Ÿ LLaMA 3 models are well-integrated into the Hugging Face ecosystem, making them readily available to developers. Ÿ LLaMA 3 models along with Meta has released LLaMA Guard 2, a safety model optimized on the 8 billion versions; targeting an increase in production use cases for safety and reliability. Ÿ LLaMA 3 models have shown exemplary performance across benchmarks while outperforming its high- profile counterparts such as OpenAI's GPT-3.5 and Google's Gemini. Ÿ LLaMA 3 models are trained on a dataset that comprises 15 trillion tokens, which is seven times the size of the dataset used for LLaMA 2. Ÿ Meta is actively developing more capable versions of LLaMA 3; with future models expected to exceed 400 billion parameters. Ÿ Meta continues to stress its commitment to the open-source community by making LLaMA 3 available for FREE. Ÿ LLaMA 3 models are optimized for hardware from Intel, AMD, and Nvidia. © Copyright 2024. United States Artificial Intelligence Institute. All Rights Reserved. WWW.USAII.ORG

4. LLaMA 3 Ecosystem: The grand reveal of LLaMA 3, has opened many avenues for 4 massive tools to work magic and make LLaMA easier and safer. LLaMA Guard 2: A powerful large language model tool that assists in classifying text as safe or unsafe. It can widely be used for prompts and responses as its most famous use case is a chatbot. In addition, the LLaMA Guard 2 responses are tagged with a safety label. Ÿ LLaMA Code Shield: It classifies code as secure or insecure; with many software developers using LLMs to assist in writing codes. Code Shield is designed to be incorporated into AI coding assistants and integrated into other tools such as VSCode, and DataLab. Ÿ CyberSec Eval 2: Eval 2 allows you enough opportunity to evaluate how safe an LLM is. The original CyberSec Eval lets you evaluate the safety of code generation and cyber attack protection. With the latest advancements, it can assess susceptible prompt injections, automated offensive cybersecurity capabilities, and propensity to abuse a code interpreter. Ÿ Torture Tune: Torture Tune is a popular Python package that builds on PyTorch deep learning frameworks while attending to tasks inclusive of- new model creation, fine-tuning LLMs, configuring settings for training, quantization, and model evaluation. And, lastly, for prompt templates and dataset integration. Ÿ LLaMA 3 Use Cases: MODEL SIZE RECOMMENDATION USE CASES Ideal for limited computational power and resources Text summarization Ÿ Ÿ Retrieval Augmented Generation Ÿ 8 BILLION Faster inference time Ÿ Sentiment Analysis Ÿ Edge devices Ÿ Language Translation Ÿ Text summarization and accuracy Ÿ Text classification with accuracy and nuances Ÿ Content creation Ÿ Conversational AI Ÿ Sentiment analysis with nuances reasoning 70 BILLION Ÿ Language comprehension Ÿ Research and development Ÿ Language modeling Ÿ Code generation Ÿ Source: JTEK Data Solutions LLC From automating customer service, to document summarization, code generation, creating data analysis reports, being a virtual assistant, and whatnot. LLaMA 3 has a lot on offer as a genius upgrade! © Copyright 2024. United States Artificial Intelligence Institute. All Rights Reserved. WWW.USAII.ORG

5. LLaMA 3 vs the Heavy Weights: Detailed Comparison landscape has evolved beyond measure with LLaMA 3 making its big reveal. It has surpassed generative AI and has guided massive output for optimizing multimodal AI chatbots Today's the era of finesse. Let us look at how LLaMA 3 performs way better than its old counterparts and yields maximum optimization. large language models with LLaMA 3 Ecosystem: FEATURES LLaMA 3 GPT-4 CLAUDE GEMINI PARAMETERS 8 billion/ 70 billion Multibillion Comparable Comparable MULTIMODAL Text only Yes Text primarily Yes CODING CAPACITY Enhanced High Moderate Moderate BENCHMARK WINS Yes Consistent High in Ethics Efficient MARKET NICHE Diverse General AI Ethical AI Enterprise AI Looking at the above table of differentiation, every AI model has a unique strength with LLaMA 3 being an outstanding contender with the recent upgrades and anticipated multimodal capabilities. AI Gemma 7B It AI Gemini Pro 1.5 Llama 8B Mistral 7B Instruct Llama 3 70B Claude 3 Sonnet MMLU MMLU MATH MATH HumanEval HumanEval GSM-8K GSM-8K BENCHMARK BENCHMARK GPQA GPQA 0 20 40 60 80 0 25 50 75 SCORE SCORE Source: DataCamp © Copyright 2024. United States Artificial Intelligence Institute. All Rights Reserved. WWW.USAII.ORG

6. The above simultaneous image references are for LLaMA 3 8 billion (left) and 70 billion (right) model respectively. They throw light on the astounding capabilities that these models possess in comparison to other comparable models on the diverse benchmarks. These include MMLU (Massive Multitask Language Understanding), MATH (Middle-high school Mathematics), HumanEVAL (Functional correctness test of computer codes generation), GSM-8K (High- quality linguistically diverse grade school math word problems), and GPQA (Graduate-level Google-Proof Q&A). LLaMA 3: Mechanism LLaMA 3 was created and trained with over 15 trillion tokens, including the overall dataset, which is seven times larger than that used to train LLaMA 2. Each token is a word or semantic fragment that allows the model to assign meaning to the text and plausibly predict the follow-on text. If the words 'Apple' and 'iPhone' consistently appear together, it can be understood that the two concepts are related and are distinct from 'apple-the fruit'. As per Meta, LLaMA 3's tokenizer has a larger vocabulary than LLaMA 2's; making it significantly more efficient. What Makes LLaMA 3 Significant? LLaMA 3 is here to power up your Meta AI smart assistant goals for its social media platforms. It goes easy on the pocket with its open-weights approach. Enhance your data privacy while managing highly sensitive data during financial or other document maintenance. Meta's LLaMA models are intended to be a base for developers to build. Take on LLaMA 3 and retrain it to create your own completely independent large language model (LLM). Final Word: Is it overwhelming for you to absorb? Allow us to facilitate with the most nuanced AI skills and top-of-the- line AI certifications that can guide you through this entire process of LLaMA 3 and other core AI capabilities. Becoming an expert in large language models (LLMs) and much more has been a cakewalk with the world's trusted names in the AI credentialing arena. Make use of the popular in-demand skills while you work through building a career in AI as a seasoned professional displaying futuristic skillsets and landing your dream job. © Copyright 2024. United States Artificial Intelligence Institute. All Rights Reserved. WWW.USAII.ORG

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