AI Models

Text courtesy: ChatGPT 3.5, MS Copilot, Meta LLama 3 7B. 

1. ChatGPT

ChatGPT is a chatbot developed by OpenAI. It was launched on November 30, 2022, and it quickly gained attention due to its ability to generate natural and conversational responses using large language models (LLMs) 1. The chatbot is based on a fine-tuned version of GPT-3.5, which is an advanced AI language model created by OpenAI in 2018 2. The goal of ChatGPT is to provide users with a tool that can engage in meaningful conversations, answer questions, and assist with various tasks.

Capabilities

1. Conversational Interaction:

   • ChatGPT enables users to engage in conversations using natural language.
   • Users can refine and steer the conversation by specifying desired parameters such as length, format, style, level of detail, and language 1.

2. Contextual Understanding:

   • Successive user prompts and replies are considered at each stage of the conversation.
   • This context-awareness allows ChatGPT to generate relevant and coherent responses 1.

3. Updates and Improvements:

   • Since its initial release, OpenAI has been actively updating ChatGPT.
   • Techniques like adversarial training are used to prevent users from tricking the chatbot into behaving badly (known as jailbreaking).
   • The chatbot learns from adversarial attacks and improves its behavior over time 3.

4. Industry Impact:

• ChatGPT’s success has sparked interest worldwide.
• Companies and investors are exploring large language models, leading to a new wave of innovation and investment 3.

1. ChatGPT 3.5:

   • Release Date: ChatGPT 3.5 was released in December 2022.
   • Model: It is based on GPT-3, which has 175 billion parameters.
   • Usage: The free version of ChatGPT available to users operates on GPT-3.5.
   • Capabilities: ChatGPT 3.5 can engage in conversations, answer questions, and assist with various tasks using natural language.
   • Web Traffic: ChatGPT (both free and paid versions) attracted as much web traffic as the Bing search engine.
   • Paid Version: To address server capacity issues, OpenAI introduced ChatGPT Plus (ChatGPT+), a paid version priced at $20 per month. ChatGPT+ uses the underlying GPT-4 technology1.

2. GPT-4:

   • Release Date: GPT-4 arrived in March 2023.
   • Parameters: It has an impressive number of parameters, although the exact count is not specified in the provided information.
   • Access: Users can access GPT-4 through ChatGPT Plus (ChatGPT+).
   • Improvements: GPT-4 represents a significant advancement over GPT-3.5 in terms of artificial intelligence capabilities.
   • Usage: Companies and services beyond ChatGPT are also adopting GPT-4 technology, including Quora’s Poe Subscriptions and Microsoft’s Bing search engine1.

3. ChatGPT 5 (Upcoming):

   • Expected Release Date: ChatGPT 5 is anticipated to complete its training by December 2023.
   • Features: While there is no public roadmap yet, ChatGPT 5 is expected to be safer, more accurate, and more powerful.
   • Timeline: Based on historical patterns, we might see ChatGPT 5 released in 2025 at the earliest234.

2. Microsoft Copilot

1. Overview:

   • Microsoft Copilot is an AI-powered coding assistant developed by GitHub and OpenAI.
   • It assists developers by suggesting code completions, writing functions, and providing context-aware recommendations.
   • Copilot is designed to enhance productivity, reduce repetitive tasks, and improve code quality.

2. Features:

   • Code Completions: Copilot predicts and autocompletes code snippets based on context.
   • Context-Aware Suggestions: It understands the programming language, comments, and variable names to provide relevant recommendations.
   • Pair Programming: Copilot collaborates with developers in real time, making it useful for pair programming.
   • Multilingual Support: It works with various programming languages and frameworks.

1. Links:

   • Microsoft Copilot Official Page: Learn more about Copilot and its features.
   • GitHub Copilot: Explore Copilot’s integration with GitHub.
   • Microsoft Copilot Documentation: Access detailed documentation and usage guidelines.

3. Google Gemini

1. Background of Google Gemini:

   • Google Gemini is the tech giant’s most robust collection of AI tools to date.
   • It encompasses various AI functionalities, from chatbots to voice assistants and full-blown coding assistants.
   • Gemini replaces both Google Bard (the previous name for Google’s AI chatbot) and Duet AI (Google’s rival to CoPilot Pro and ChatGPT Plus).

2. Versions and Access:

   • Free Version:
     • Offers basic features, including text-based prompts, image generation, and Google app searches.
     • Available to users with standard Google accounts.
   • Gemini Advanced (Paid):
     • Provides more powerful features:
       • An advanced AI model designed for complex tasks.
       • Longer conversations.
     • Accessible through the Google One AI Premium Plan subscription.

3. Gemini Ultra 1.0:

   • Google’s most powerful large language model (LLM) to date.
   • Available via the Google One AI Premium subscription.
   • Seamlessly integrates with the Gemini ecosystem.

4. Capabilities of Google Gemini:

   • Multimodal LLMs:
     • Gemini models are multimodal, meaning they can interpret and respond to various types of content, including text, video, audio, and code.
     • They can perform a wide range of tasks, such as writing code, generating images, or composing text.
   • Sophisticated Reasoning:
     • Gemini can generalize and seamlessly understand different types of information, including text, images, audio, video, and code.
     • It has advanced multimodal reasoning capabilities.
   • Coding Skills:
     • Gemini can generate high-quality code in several programming languages.
     • It excels in tasks related to math, physics, and coding.

4. Med-Gemini 

is a family of highly capable multimodal models specialized for medicine, developed by Google researchers. Leveraging advances in clinical reasoning, multimodal understanding, and long-context processing, Med-Gemini achieves state-of-the-art performance across various medical benchmarks. Key innovations include advanced reasoning capabilities, multimodal understanding, and efficient long-context processing. Med-Gemini shows promise for real-world applications in medical question answering, diagnostic assistance, research summarization, and medical education12.

https://www.maginative.com/article/med-gemini-advancing-medical-ai-with-highly-capable-multimodal-models/

5. Meta LLAMA

• Meta Llama is a series of transformer-based language models created by Meta AI.
• Introduced in early 2023, Llama is designed to generate human-like text.
• Unlike some proprietary large language models (LLMs), Meta has made Llama accessible to researchers under a non-commercial license 12.

Meta Llama 3

• Versions: Meta Llama 3 is available in both 8 billion (8B) and 70 billion (70B) pretrained and instruction-tuned versions.
• Performance:
  • Language Nuances: Llama 3 excels at understanding language nuances and context.
  • Translation and Dialogue: It handles tasks like translation and dialogue generation.
  • Code Generation: Llama 3 can generate high-quality code in various programming languages.
  • State-of-the-Art: It demonstrates state-of-the-art performance on industry benchmarks.
• Scalability and Context Length:
  • Llama 3 has been trained on a massive dataset using custom-built GPU clusters.
  • It supports an 8K context length, doubling the capacity of its predecessor, Llama 2.
• Safety and Responsibility:
  • Meta emphasizes responsible development with LLMs.
  • Llama Guard 2 helps classify inputs and responses for safety.
  • Developers are encouraged to filter outputs based on their content guidelines.
• Integration with Meta AI:
  • Llama 3 is integrated into Meta AI, allowing users to experience its performance firsthand for coding tasks and problem-solving.

Llama 2

• Variants: Llama 2 includes pretrained and fine-tuned text models ranging from 7 billion to 70 billion parameters.
• Code Llama: Specialized versions for code generation, including Python specialists and instruction-tuned variants.
• Llama Guard: A safeguard model for classifying LLM inputs and responses.

In summary, Meta Llama represents a significant leap in AI capabilities, offering a wide range of tools for users across different platforms and needs. Whether you’re developing agents or other AI-powered applications, Llama 3 in both 8B and 70B provides the flexibility you need to develop your ideas11223344.