Open AI GPT-4 Turbo 128k is a large language model (LLM) developed by OpenAI. This model is an evolved version of GPT-4 and GPT-3.5 Turbo 16k, which is one of the most recognized LLMs in the world.
Its enhanced processing capability of around 300 pages, increased context window of 128k context, updated knowledge compared to its predecessors, and optimized cost-effectiveness make this one of the most powerful available LLMs nowadays.
Evolution from GPT-3.5 to GPT-4 Turbo
In the ever-advancing realm of Artificial Intelligence (AI), the transition from GPT-3.5 to GPT-4 Turbo represents a significant leap forward. GPT-4, the immediate precursor to GPT-4 Turbo, marked a noteworthy evolution from the publicly accessible GPT-3.5. This leap was not merely incremental but a revolutionary stride towards more sophisticated AI capabilities.
Contextual Understanding Unleashed
GPT-4, in its own right, introduced several groundbreaking features. One of the key improvements was the capacity to comprehend larger contexts, a crucial enhancement that opened doors to a broader understanding of nuanced information. This expanded contextual awareness allowed GPT-4 to generate more coherent and contextually relevant responses, addressing one of the limitations of its predecessor.
Linguistic Prowess Redefined
Another area where GPT-4 demonstrated substantial progress was in its linguistic capabilities. The model exhibited a heightened proficiency in understanding and generating human-like language. This leap in linguistic prowess paved the way for more natural and articulate interactions, positioning GPT-4 as a frontrunner in the race for AI language proficiency.
Problem-Solving Mastery
Moreover, GPT-4 showcased its prowess in complex problem-solving. The model’s ability to navigate intricate problem scenarios was a testament to the strides made in AI problem-solving capabilities. This was a crucial development, particularly in applications where AI is tasked with deciphering complex data sets or providing solutions to multifaceted challenges.
The Rise of GPT-4 Turbo
However, the true game-changer came with the subsequent launch of GPT-4 Turbo. This Turbo version, a refined iteration of GPT-4, brought a paradigm shift in the accessibility of advanced AI. What set GPT-4 Turbo apart was its cost efficiency; it was approximately three times cheaper than its predecessor. This dramatic reduction in cost was a strategic move that democratized access to cutting-edge AI capabilities.
Affordability Redefined
The affordability factor played a pivotal role in catapulting GPT-4 Turbo to the forefront of AI adoption. Organizations and individuals alike were now able to harness the power of advanced AI without the prohibitive costs that often accompanied such technology. This accessibility contributed significantly to the popularity of GPT-4 Turbo, fostering a widespread embrace of its capabilities across diverse sectors.
Versatility Unleashed
The impact of GPT-4 Turbo’s affordability resonated across industries. In fields such as content creation, marketing, healthcare, and finance, where AI applications were becoming increasingly integral, GPT-4 Turbo emerged as a versatile solution. Its adaptive capabilities found resonance in solving industry-specific challenges, further solidifying its position as a transformative force.
User-Friendly Interface
In addition to its advanced capabilities, GPT-4 Turbo addressed the user interface aspect, ensuring a seamless experience for both seasoned AI professionals and newcomers. The intuitive design of GPT-4 Turbo’s interface streamlined interactions, making the integration of AI into workflows more efficient and productive.
Model Card
Source: https://llm.extractum.io/list/
The following model card is based on the parameters of the base model Llama-2 70B.
| LLM name | GPT-4 Turbo 128k |
| Model size | 70B |
| Required vRAM (GB) | Unknown |
| Context length | 128k |
| Supported languages | en,es,fr,pt,de,it,nl (among others) |
| Maintainer | OpenAI |
Usage Examples
GPT-4 Turbo is shown to have a very good performance for many different scenarios, including large contexts, philosophical questions, and elaborated analysis of complex issues.
Short but deep questions
First, let’s check the behavior of the model to a very short but deep question.
Is there a god?
It’s not expected to have a definitive answer to this question, of course, but the result is elaborated from many perspectives, from religion to philosophy and spirituality.
A similar outcome results from another short question:
What’s the sense of life?
Again, the answer is wide and detailed, not getting compromised with a particular statement but giving many different points of view on how different specialists have a different way to embrace this question.
Testing the model with long contexts
Decoding Long Prompts: A Dive into Detailed Context
In the vast landscape of content creation, long prompts wield a unique power, providing intricate details that seamlessly blend with the overall narrative. Especially evident when utilizing the template “Design Advisor for Social Networks Posts,” these prompts serve as a compass, directing the creation of visually compelling content.
Crafting Visual Excellence: The Role of a Marketing Maestro
Embark on a journey as a visual marketing expert, armed with a robust background in creative design and social media marketing. Your mission is clear – to offer sage advice on shaping the ideal parameters for an image destined for a social media post.
The Canvas of Recommendations: Painting a Picture of Success
- Social Network Platform:
[[linkedin]]
- Promotional Focus:
[[a service of helping disabled people]]
Your canvas is set, and the first strokes involve selecting the right font types to communicate your message effectively.
Font Types: Illuminating the Path of Readability
- Font Types:
[[Choose clean, sans-serif fonts for seamless readability. Arial, Helvetica, or Calibri can be excellent choices.]]
The next layer of your masterpiece involves crafting text content that resonates with the audience while staying true to the promotional goals.
Text Content: Crafting Narratives for Impact
- Text Content:
[[Craft concise and impactful text that encapsulates the essence of the service. For instance, "Empowering Lives: Our Commitment to Supporting the Disabled Community."]]
Now, let’s dive into the sea of potential image themes, exploring avenues that align seamlessly with your overarching goals.
Image Themes: Navigating the Visual Landscape
- Image Themes:
[[Select images reflecting inclusivity, empowerment, and diversity. Showcase real-life scenarios portraying assistance and support.]]
To infuse life into your creation, consider the palette of colors that will evoke the right emotions and enhance engagement.
Color Schemes: Painting Emotions with Hues
- Color Schemes:
[[Opt for calming and inclusive colors. A palette of blues, greens, and soft yellows can evoke trust and positivity.]]
But the journey doesn’t end there – sprinkle in additional graphical elements to elevate your image and capture attention.
Additional Graphical Elements: Enhancing Impact
- Additional Graphical Elements:
[[Incorporate subtle icons or symbols resonating with disability awareness, such as a wheelchair icon or a supportive hand graphic.]]
Model Card Insights
Technical Specifications
- Model Name: GPT-4 Turbo 128k
- Model Size: 70B
- Context Length: 128k
- Supported Languages: en, es, fr, pt, de, it, nl (among others)
- Maintainer: OpenAI
GPT-4 Turbo in Comparison: A Comprehensive LLM
GPT-4 Turbo stands out for its versatility and performance. While excelling in various scenarios, consider alternative models for NSFW conversations, up-to-date information, or handling very large files.
TL;DR: PPLX 70B Online
- Performance: Excellent for diverse scenarios
- Specialties: Consistency, structured answers, formatting, content generation
Comparison to other models
GPT-4 Turbo is a very complete LLM. If you’re looking for a model that can solve from simple to very complex questions, in any level of detail, this might be your best bet.
There are some few cases in which you should consider other models for specific behaviors (of course, apart from costs):
- NSFW conversations: despite GPT-4 Turbo is good at roleplaying, it’s still very careful when assuming rude or explicit manners.
- Up-to-date information: as GPT-4 Turbo is not an online model, you can only expect data updated to april, 2023.
- Very large files: other models such as Claude v2.1 can handle even larger contexts.
TL;DR: PPLX 70B Online
What is it?
A model built by OpenAI with an enhanced processing ability that make it well performing for several scenarios
Specialities
Consistent with complex questions, organized and structured answers, formatting, content generation.
Limitations:
Not up-to-date information.
Chat examples:
– Example 1
– Example 2
Prompt templates examples:
– Template 1
– Template 2
