TMT Digest | Artificial Intelligence

If LLM launch was like Fashion Week

Catalog of the most talked LLM Models in 2024

Tired or confused of all the LLM models being launched every week. Imagine this was fashion week and just like designer’s revealed their unseen collections, tech giants are on the spree to reveal the powerful LLMs. We’re ditching stilettos for servers and strutting into the hottest events of the digital age: The LLM Week Extravaganza! This year, the biggest names in AI are unleashing their latest and even more powerful models on the digital runway, and the buzz is deafening. Hope the product catalog helps you make sense of the generative AI landscape.

This year March 2024 Claude family graces the stage with a visionary model that prioritizes safe and responsible development of AI. This model Claude excels at a wide range of conversational and text processing task like summarization, creative writing, search and coding. Claude has 3 variations — Sonnet, Haiku and Opus.

1. Claude 3 Haiku (March 2024): This is the speed demon of the family. Prioritizing near-instant responsiveness, Haiku excels at tasks where interactions feel natural and human-like. It’s ideal for situations where affordability and speed are crucial.
2. Claude 3 Sonnet (March 2024): Launched alongside Haiku in March 2024, Sonnet offers a sweet spot between intelligence and speed. It’s a powerful choice for enterprise needs and large-scale AI deployments where tasks require efficiency without sacrificing complexity.
3. Claude 3 Opus (March 2024): The powerhouse of the Claude family, Opus, also launched in March 2024, boasts cutting-edge performance on intricate tasks. It offers the most advanced reasoning and comprehension capabilities, making it ideal for users who require the absolute best in terms of Claude’s abilities.

Imagine these models not backstage with a plate of bonbons, but with access to a vast, well-indexed library of literature, code repositories, and creative works, all meticulously categorized for effortless unbiased retrieval.

Google has a number of these models at work. However Gemini is Google’s most powerful AI model to date that would make any supermodel jealous. Supassing human benchmarks, exceptional performance and diverse skillset, Gemini has already been used for some powerful applications like enchanced search experience, personal assistance, language translator.

The Gemini family also consists of three models:

1. Gemini Ultra: This is the most powerful and versatile model in the family, capable of processing multiple data types like text, code, images, and audio.
2. Gemini Pro: This is a mid-range model that offers a balance between power and efficiency.
3. Gemini Nano: This is the smallest and most lightweight model, designed for tasks that don’t require as much processing power.

The secret to Gemini’s charm? A “lifestyle” regimen of extensive dialogue data powered by Google’s own database, meticulously indexed to capture intent and nuance. Alongside the mighty Gemini, Google offers Gemma too, a family of open-source, lightweight LLMs for developers and researches.

Meta unveils Llama family, current iteration Llama 3. This takes center stage when it comes to open-source LLMs. With characteristics like powering innovation, open for all and constant evolution Meta is democratizing AI, one line of code at a time. The model gets powerful with increased adoption and research. While open-source models are a big part of Meta’s LLM strategy, they also have some impressive proprietary offerings:

• Unlocking Conversational Potential: Meta’s unreleased LLM codenamed “Megatron-Turing NLG” (MT-NLG) focuses on natural language generation, aiming to create chatbots and virtual assistants that can engage in nuanced and informative conversations.
• The Power of Personalization: Another project, “BlenderBot 3,” personalizes interactions by considering a user’s history and preferences, making conversations more engaging and relevant. This is also not publicly available yet.

Llama in the context of fashion week is a perfect chameleon, constantly adapting its “outfit” to the task at hand. One moment it might be draped in a flowing gown of code, the next in a sharp suit of factual accuracy, and then a whimsical cloak of creative language.

Finally OpenAI’s GPT gracefully glides down the stage, the first visionary model that is leading the pack. This wordsmith extraordinaire isn’t just a master of storytelling, it can also craft compelling blog posts, translate languages, and even write different kinds of creative content.

1. The GPT-3 Era: The GPT-3 family marked a turning point in 2020. These models, like GPT-3.5 (the engine behind ChatGPT), showcased a remarkable ability to generate different creative text formats, from poems to code.
2. Innovation with GPT-4 (2023): In 2023, they unveiled GPT-4, boasting significant advancements. This powerhouse LLM not only excelled in text generation but also offered Improved Reasoning and a groundbreaking feature of vision integration in GPT-4 Turbo, allowing it to process visual data alongside text.

OpenAI has 2 more models — DALL.E3 for text to image conversion and its recently teased AI model Sora that converts text to videos. Imagine all these models backstage, not with a stylist, but with a team of editors, and curators meticulously polishing until it shines.

While the raw processing power of these LLMs is undeniable, the real magic lies in their curated data diet and immersive “lifestyle.” Just like a supermodel’s glow comes from a balanced diet and exercise routine, the power of these LLMs comes from meticulously indexed and labeled data.

• Data Indexing: Picture a supermodel lost backstage, unable to find her show-stopping gown. Similarly, unindexed data makes it hard for LLMs to find the information they need. Indexing allows for quick retrieval, ensuring smooth information flow. Imagine a meticulously organized closet, where every outfit is categorized by occasion, color, and style.
• Data Labeling: Now imagine a supermodel trying to portray joy when she’s feeling frustrated. LLMs need labeled data to understand the nuances of human communication. Labeled data helps them distinguish between factual information, opinions, and emotions. It’s like providing our models with a detailed script for every social situation, complete with emotional cues and underlying intentions.

This LLM Week Extravaganza has been a testament to the power of innovation. As AI continues to evolve, the focus on well-curated and labeled data will only intensify. After all, in the world of AI, just like in the world of fashion, the right data is the key to true power and lasting impact. As computing power increases, we can expect to see even more specialized models emerge, each tailored for a specific purpose, like a custom-made gown for every occasion. So, get ready, fashionistas! The future of AI is looking haute couture.

This is a fun take on LLM Models hogging your feeds everyday. This catalog is a comprehensive overview of the LLM models available today and how each can help you with your individual goals. Hope you find the information useful.