Transcription

https://thevideotitan.com/00aiwhisp25/s2/S2A_4-WHAT-I-DO-WITH-CHAT-GPT-2.mp4 to https://thevideotitan.com/00aiwhisp25/s2b/S2_1_INTRODUCTION-TO-PROMPTS.mp4

1. https://thevideotitan.com/00aiwhisp25/s2/S2A_4-WHAT-I-DO-WITH-CHAT-GPT-2.mp4
--------------------
---
Transformed 4X Biz Quadrants ##

Introduction of New Niches ###

In this section, we'll delve into how GPT and AI have transformed the four primary quadrants of business: positioning, products, people, and place. GPT hasn't just automated tasks—it's revolutionized entire facets of business.
To begin with, GPT introduced me to new niches. For example, I utilized a combination of brainstorming with GPT, my voice, and custom GPT models to explore these niches, specific details of which I'll share later.

Chrome Extension Success ###

One significant example is a Chrome extension I developed. I initially bug-fixed this extension for just $50, and then managed to flip it for an impressive $7,000, resulting in a 140x return on investment.

More Than Automating My Biz ##

Expert Knowledge and Learning ###

The impact of language models like GPT goes beyond mere automation and short-term gains. It's about creating sustainable teaching moments and growing knowledge across various domains. GPT has taught me topics I had no prior knowledge of, such as Amazon Kindle publishing, 3D printing, and coding languages.

Enhancing Hobbies ###

Moreover, GPT has enriched my hobbies such as astronomy, music, and travel by providing new insights and suggestions. The AI has also played a role in my personal life, entertaining my kids with Dall-e generated children's stories.

---

By structuring and cleaning up the transcription this way, it presents a more polished and professional written format, while retaining the key points and personal touches from your video course.		  
----------
		  
2. https://thevideotitan.com/00aiwhisp25/s2/S2A_5-WHAT-YOU-DO-WITH-CHAT-GPT-2.mp4
--------------------
Sure, here is the cleaned-up, fixed, and formatted text for your ebook based on the provided transcription and video slide references:

---

What *You* Can Do With GPT ##

Introduction ###

If you are a human being, there are bound to be incredible use cases for Chat-GPT unique to you. The potential benefits and enhancements GPT can bring to your activities are vast and varied.

### Enhancing Your Tasks ###
GPT significantly enhances and automates what you do or can take you in new directions. The ways GPT can assist will differ for each person, but it broadly covers various fields and applications.

### Its Advanced Capabilities ###
GPT is an intermediate to advanced tool for any topic. Think of it like being at a party with very intelligent and knowledgeable individuals, each capable of providing insights on various subjects.

### Continuous Learning ###
This training is just the start for you, and the AI Whisperer chatbot is a great mentor for further exploration with AI. Keep exploring and learning to unlock the full potential of GPT for your needs.

Remember, GPT is here to make your tasks easier and guide you toward more efficient methods. Use this training as a launching pad for your AI journey.

---

The text has been structured to maintain a coherent flow fitting for a written book, with headers and sub-headers to guide the reader through the content. Repetitions, filler words, and transcription errors have been removed for readability while retaining the essence and key points of your original content.
		  
------------------------------
3. https://thevideotitan.com/00aiwhisp25/s2/S2A_6-BEYOND-CHAT-GPT-OTHER-LLMs-2.mp4
--------------------
Based on the guidelines and the provided slide images, here is the reformatted and cleaned-up transcription text for your ebook:

---

My Favorite Non-GPT Chat Bot ##

Introduction ###

Let’s kick off by discussing my top choice for a non-GPT chatbot. While I use GPT regularly, it's important to acknowledge that it's not necessarily the smartest or most capable Large Language Model (LLM) out there.

Meet Anthropic and Claude Opus ###

Anthropic is a spin-off company founded by a few former OpenAI employees. They have developed a notable LLM called Claude. Claude Opus, in particular, is a remarkable chatbot for reasoning, and Sonnet 3.5 shines when it comes to coding and building applications. You can access Claude for just $20 per month or via the Anthropic API or OpenRouter.

Other Notable LLM/Chatbots ##

Opensource Options ###

Llama 3.1 400B (Metal) is my top choice among open-source models. It’s robust and flexible, fitting a variety of use cases.

Notable Mentions ###

Besides Claude, there are several other commendable models:

- Gemini Pro 1.5
- Character AI
- Grok (X Pro)

These AI models offer unique features that might cater better to your specific needs.

Alternative AI Chatbots ###

If you’re looking for an AI equivalent of Google, Perplexity AI is worth exploring. Alternatively, you might find AgentX Browser’s capabilities to be efficient in meeting your requirements.

---

Remember to keep your style informal and ensure that the content remains easy to understand and accessible to a diverse audience. This format should make your transcription more readable and concise, turning it into a suitable text for your ebook.
		  
------------------------------
4. https://thevideotitan.com/00aiwhisp25/s2/S2A_7-LIMITATIONS-OF-GPT.mp4
--------------------
## Limitations of GPT and All LLMs ##

Despite their many advantages, GPT and other large language models (LLMs) face several significant limitations. These hurdles are primarily centered around cost, training data, token size, resistance to feedback loop (RFL), alignment issues, and hallucinations.

### Cost ###

Using advanced models such as GPT isn't free. Users typically face two primary financial commitments: either a $20 monthly subscription for a "plus" plan from providers like OpenAI or Anthropic, or a variable "pay per call" fee. Both options can add up quickly, especially for regular users.

### Training Data Is Not New ###

Another significant limitation is that the training data for these models isn't always current. Although GPT can browse the web for information, it faces issues with caching, which can lead to outdated or irrelevant data being used during interactions.

### Token Size ###

Token size refers to the context window of the model, which is essentially the amount of text the model can process at once. For instance, 1 token equals roughly 4 words, with the maximum token size being around 4,000 to 8,000 before the model "forgets" previous context. This limitation can significantly affect the continuity and coherence of responses in lengthy conversations.

### Resistance to Feedback Loop (RFL) ###

LLMs can be resistant to feedback loops. They often avoid expressing opinions when desired and are programmed to push back against certain provocative or sensitive topics, especially around protective classes (e.g. "sharks are more stupid than whales"). This programmed avoidance or resistance can be frustrating when attempting to engage in comprehensive discussions.

### Misalignment ###

These models often suffer from misalignment issues. They lack ethical understanding and context, which can lead to misleading interactions. For example, if prompted to "clone my website for me," the model may misinterpret the request as morally ambiguous without the necessary context.

### Hallucinations ###

One alarming issue with LLMs is their propensity for hallucinations—producing incorrect or misleading information confidently. This can be particularly dangerous for users who aren't experts in a subject, as feeding the model with wrong assumptions can lead to the generation of false or harmful information.

### Final Thoughts ###

While GPT and other large language models have revolutionized many aspects of digital interaction, understanding their limitations is crucial. Users must remain aware of these challenges to use these powerful tools effectively and cautiously.
----------

------------------------------
5. https://thevideotitan.com/00aiwhisp25/s2b/S2_1_INTRODUCTION-TO-PROMPTS.mp4
--------------------
Certainly! Here is the cleaned-up and formatted text based on the transcription and provided slides:

---

Introduction to Prompts ##

Definition of Prompt Engineering ###

Prompt engineering is essentially about what you say to artificial intelligence (AI). It applies to all AI systems, though it seems less significant for "artsy" AIs trained to create beautiful images regardless of specific instructions.

Effective Prompting for Language Learning Models (LLMs) ###

When it comes to LLMs, good prompting involves providing examples, including specific details, and repeating instructions at the beginning and end. It also involves decomposing and delivering the prompt chain in segments. We'll explore these concepts further in the following sections.

Prompt Engineering vs. AI Whispering ###

Prompt engineering and AI whispering represent two distinct approaches. For example, imagine comparing a robot oracle to a clinical nerd side by side. The oracle might deliver answers loudly and confidently, while the nerd might provide meticulous, detail-oriented responses. Prompt engineering combines elements from both extremes to produce the best result.

---

This concise and structured format presents the information in a clearer and more accessible way, suitable for an ebook audience.