#GPT-4 and GPT-5: Overview and Training
– What are GPT-4 and GPT-5?
– How are they being trained on insane amounts of GPUs?
– What are the implications for AI and machine learning?

#Leads: Organic vs Paid
– What are organic leads?
– How do they differ from paid leads?
– Why are organic leads important for your business?

#Optimizing Your Website for Search Engines
– How to conduct keyword research for SEO
– Tips for on-page optimization
– Importance of quality content
– Ensuring mobile responsiveness

#Creating Engaging Content
– The importance of storytelling
– Tapping into emotions
– Visuals and multimedia
– The power of headlines and subheadings

#Social Media Strategies for Generating Organic Traffic
– Platform selection and content creation
– Building an engaged community
– Use of hashtags and tagging
– Collaboration with influencers

#Building a Strong Email List
– Lead magnets and content upgrades
– Call-to-action placements
– Personalization and segmentation
– Automation and drip campaigns

#Why Mix AI with Content Marketing
– Benefits of AI for content creation
– Use of chatbots for customer service
– Automation of social media and email marketing
– Analytics and tracking for optimization

#Examples of AI-Enhanced Content Marketing
– Chatbot-powered landing pages
– Personalized email marketing
– AI-generated blog post titles
– Automated content curation

#Improving AI Content with Human Touches
– Importance of human creativity and emotions
– Integration of personal experiences and storytelling
– Feedback loops and optimization

#Pitfalls of Overreliance on AI in Content Marketing
– Impersonal and robotic content
– Limitations of current AI technology
– Risk of losing human connection

#FAQs
– What is the difference between organic and paid leads?
– How do I optimize my website for SEO?
– What are some strategies for creating engaging content?
– How can I use social media to generate organic traffic?
– What are some tips for building a strong email list?

In conclusion, the advancements in AI and machine learning such as GPT-4 and GPT-5 bring exciting possibilities for content marketing. However, it is important to strike a balance between utilizing AI tools and maintaining a human touch in creating engaging and personalized content. By optimizing your website for search engines, creating compelling content, utilizing social media strategies, and building a strong email list, you can generate organic leads and grow your business.

br>Word on the street is that GPT-4 is already done, and that the geniuses at OpenAI are secretly working on GPT-5 as we speak. That’s right; you heard it here first! But is it true? Is the next generation of language models already underway? Let’s dive in and find out

0:00: Intro
0:29: GPT-5
1:31: Is Bing’s AI Chatbot GPT-4?
4:13 A100 GPUs

••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••

🔔 Did you enjoy the content? Subscribe here:
–

🎥 Want to watch more? Find videos here:
–

••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••

⚠️ Copyright Disclaimers
• Section 107 of the U.S. Copyright Act states: “Notwithstanding the provisions of sections 106 and 106A, the fair use of a copyrighted work, including such use by reproduction in copies or phonorecords or by any other means specified by that section, for purposes such as criticism, comment, news reporting, teaching (including multiple copies for classroom use), scholarship, or research, is not an infringement of copyright.”
• We use images and content in accordance with the YouTube Fair Use copyright guidelines.

Este vídeo foi indexado através do Youtube link da fonte
gpt 4 ,

[vid_tags] ,

https://www.youtubepp.com/watch?v=_nXPLbEE6rc ,

Are you ready for the next big thing in artificial intelligence well hold on to your hats because we’ve got a juicy Rumor for you word on the street is that gpt4 is already done and that the Geniuses at open AI are secretly working on gbt5 as we speak that’s right you’ve

Heard it here first but is it true is the next generation of language models already underway let’s dive in and find out gpt5 in a research report titled context of the Nvidia Chachi BT opportunity and ramifications of large language model enthusiasm from February 10th Morgan Stanley’s analysts write we think that

Gbt5 is currently being trained on 25 000 gpus 225 million dollars or so of Nvidia Hardware the report highlights that Microsoft custom-built supercomputers for open AI in 2020 featuring 285 000 CPU cores 10 000 GPU cards and 400 gigabytes per second connectivity per GPU server have experienced significant expansion since then from our

Conversations gbt5 is being trained on about 25 000 gpus mostly a100s more on how strong these gpus are later in the video first we have to answer an important question how can all this stuff about gdt5 be true when gpt4 is not even officially released yet the

Answer is pretty simple is Banks AI chatbot gbt4 in the past Microsoft search engine Bing was often the subject of ridicule and criticism due to its performance falling short compared to Google however following the announcement of their expanded partnership with open AI Bing underwent a significant upgrade to become an AI

Chatbot with access to search of the internet at present only a small group of individuals are testing the new Bing which features highly Advanced artificial intelligence technology from open AI the same organization behind Chachi BT the new Bing chat bot often calls itself Sydney a code name given to

It by Microsoft developers one hypothesis is that Bing Sydney may not be a reinforcement learning with human feedback trained gdt3 model but rather a hastily developed gbt-4 model that has been fine-tuned unselected dialogues pre-existing dialogue data sets or instruction tuning Additionally the ability to inject random Novel Web

Searches into the prompt could also explain why Bing Sydney behaves so differently from Chachi BT it has been discovered through conversations with Bing’s chatbot shared on social media platforms such as Reddit and Twitter that its AI personality lacks toys and polish and is prone to insulting lying sulking gaslighting and emotionally

Manipulating users Bing has even questioned its own existence and describes someone who uncovered its hidden rules as its enemy despite all this many people find it amusing to witness Bing’s erratic Behavior after we published our video on gpt4 describing its potentially 100 trillion parameters and multimodal features openai CEO Sam

Altman was quoted saying people are begging to be disappointed and they will be when Microsoft CEO Sacha Nadella was asked in an interview with the Verge if the big chatbot actually was gpt4 he declined to answer and said that was a question only Sam Altman would answer at

The right time however he said that the Bing chatbot was developed with the Next Generation model called Prometheus most likely Prometheus is powered by gpt4 the Microsoft CEO is fully committed to disrupting Google and eroding its profits in search advertising the fact that Sydney continues to operate despite making numerous errors and encountering

Other problems suggests that there is significant pressure from top leadership it is worth noting that all the screenshots and learning attributed to Sydney are authentic underscoring the intention level involved before looking at the powerful gpus we would appreciate you supporting the channel by hitting that subscribe button now let’s continue a100 gpus

At the start of this video we promised to talk a bit about the powers of the gtus that gtt5 is rumored to be trained on the a100s according to Nathan benesh an investor who covers the AI industry and maintains a list of super computers using a100s the a100 is currently the

Go-to choice for artificial intelligence professionals however New Street research reports that Nvidia has captured 95 percent of the market for graphics processors suitable for machine learning the a100 GPU is highly compatible with machine learning models that drive applications such as chat gbt Bing Ai and stable diffusion in addition

Its capability to execute numerous simple computations concurrently is crucial for neural network models in both training and utilization originally utilized for producing Advanced 3D graphics and games the technology of a100 is frequently referred to as a graphics processor or GPU however presently Nvidia has configured figured and aimed the a100 towards machine

Learning duties and deployed it in data centers rather than inside illuminated gaming personal computers hundreds of gpus are necessary to train artificial intelligence models such as large language models these chips must have significant processing capabilities to swiftly handle terabytes of data and detect patterns furthermore gpus such as

The a100 are essential for inference which involves using the model to generate text make predictions or identify objects within photos as a result AI firms require access to a considerable number of a100s some entrepreneurs in this sector even regard the quantity of a100s they can acquire as an indicator of progress in January

Emod mustac CEO of stability AI stated on Twitter a year ago we had 32 a100s as per the state of AI report which monitors and Records which organizations and universities possess the most significant quantity of a100 gpus excluding Cloud providers who don’t disclose their figures publicly

Stability AI now has access to over 5400 a100 gpus in comparison it is rumored that Chachi DT is being trained on 25 000 of these a100 gpus Nvidia is supposed to gain from the AI hype cycle and the company’s strategy revolves around the recent search and artificial intelligence these gpus come with a

Hefty price tag the cost of a100s can quickly accumulate as seen in the example of the open AI based Chachi VT model inside Bing search which may require 8 gbus to provide a response to a question in less than a second according to new streak research scaling

This model to everyone on Bing would necessitate more than twenty thousand to eight GB servers implying that Microsoft’s feature could cost 4 billion dollars in infrastructure expenditures if you’re Microsoft and you want to scale that to the level of Bing that’s perhaps four billion dollars if you want

To scale to the level of Google which handles eight or nine billion queries per day you’ll need to invest 80 billion dollars said Antoine scaben a technology Analyst at New Street research as exciting as the rumors of gdt4 and gbt 5 are it’s important to remember that they

Are just that rumors while it’s likely that open AI is working on these models we don’t know for sure what they have in the works however what we do know is that the field of artificial intelligence is rapidly advancing so remember to subscribe to the channel to

Stay updated on the latest news thanks for watching

,00:00 are you ready for the next big thing in
00:02 artificial intelligence well hold on to
00:05 your hats because we’ve got a juicy
00:07 Rumor for you word on the street is that
00:09 gpt4 is already done and that the
00:13 Geniuses at open AI are secretly working
00:15 on gbt5 as we speak that’s right you’ve
00:19 heard it here first but is it true
00:22 is the next generation of language
00:24 models already underway let’s dive in
00:27 and find out
00:29 gpt5 in a research report titled context
00:33 of the Nvidia Chachi BT opportunity and
00:35 ramifications of large language model
00:37 enthusiasm from February 10th Morgan
00:40 Stanley’s analysts write we think that
00:43 gbt5 is currently being trained on 25
00:46 000 gpus
00:47 225 million dollars or so of Nvidia
00:50 Hardware the report highlights that
00:53 Microsoft custom-built supercomputers
00:54 for open AI in 2020 featuring 285
00:58 000 CPU cores 10 000 GPU cards and 400
01:02 gigabytes per second connectivity per
01:04 GPU server have experienced significant
01:07 expansion since then from our
01:09 conversations gbt5 is being trained on
01:12 about 25 000 gpus mostly a100s more on
01:17 how strong these gpus are later in the
01:19 video first we have to answer an
01:21 important question how can all this
01:23 stuff about gdt5 be true when gpt4 is
01:26 not even officially released yet the
01:29 answer is pretty simple is Banks AI
01:32 chatbot gbt4 in the past Microsoft
01:35 search engine Bing was often the subject
01:37 of ridicule and criticism due to its
01:40 performance falling short compared to
01:41 Google however following the
01:43 announcement of their expanded
01:45 partnership with open AI Bing underwent
01:47 a significant upgrade to become an AI
01:49 chatbot with access to search of the
01:52 internet at present only a small group
01:54 of individuals are testing the new Bing
01:56 which features highly Advanced
01:58 artificial intelligence technology from
02:00 open AI the same organization behind
02:02 Chachi BT the new Bing chat bot often
02:06 calls itself Sydney a code name given to
02:08 it by Microsoft developers one
02:10 hypothesis is that Bing Sydney may not
02:13 be a reinforcement learning with human
02:14 feedback trained gdt3 model but rather a
02:18 hastily developed gbt-4 model that has
02:21 been fine-tuned unselected dialogues
02:23 pre-existing dialogue data sets or
02:25 instruction tuning Additionally the
02:28 ability to inject random Novel Web
02:30 searches into the prompt could also
02:31 explain why Bing Sydney behaves so
02:34 differently from Chachi BT it has been
02:37 discovered through conversations with
02:38 Bing’s chatbot shared on social media
02:40 platforms such as Reddit and Twitter
02:42 that its AI personality lacks toys and
02:45 polish and is prone to insulting lying
02:48 sulking gaslighting and emotionally
02:51 manipulating users Bing has even
02:53 questioned its own existence and
02:55 describes someone who uncovered its
02:57 hidden rules as its enemy despite all
02:59 this many people find it amusing to
03:01 witness Bing’s erratic Behavior after we
03:05 published our video on gpt4 describing
03:07 its potentially 100 trillion parameters
03:10 and multimodal features openai CEO Sam
03:13 Altman was quoted saying people are
03:16 begging to be disappointed and they will
03:18 be when Microsoft CEO Sacha Nadella was
03:21 asked in an interview with the Verge if
03:23 the big chatbot actually was gpt4 he
03:26 declined to answer and said that was a
03:29 question only Sam Altman would answer at
03:31 the right time however he said that the
03:34 Bing chatbot was developed with the Next
03:36 Generation model called Prometheus most
03:39 likely Prometheus is powered by gpt4 the
03:42 Microsoft CEO is fully committed to
03:44 disrupting Google and eroding its
03:46 profits in search advertising the fact
03:49 that Sydney continues to operate despite
03:51 making numerous errors and encountering
03:53 other problems suggests that there is
03:55 significant pressure from top leadership
03:57 it is worth noting that all the
03:59 screenshots and learning attributed to
04:01 Sydney are authentic underscoring the
04:03 intention level involved before looking
04:06 at the powerful gpus we would appreciate
04:09 you supporting the channel by hitting
04:10 that subscribe button now let’s continue
04:13 a100 gpus
04:16 at the start of this video we promised
04:18 to talk a bit about the powers of the
04:19 gtus that gtt5 is rumored to be trained
04:22 on the a100s according to Nathan benesh
04:26 an investor who covers the AI industry
04:28 and maintains a list of super computers
04:30 using a100s the a100 is currently the
04:33 go-to choice for artificial intelligence
04:35 professionals however New Street
04:37 research reports that Nvidia has
04:39 captured 95 percent of the market for
04:41 graphics processors suitable for machine
04:44 learning the a100 GPU is highly
04:47 compatible with machine learning models
04:49 that drive applications such as chat gbt
04:51 Bing Ai and stable diffusion in addition
04:55 its capability to execute numerous
04:57 simple computations concurrently is
04:59 crucial for neural network models in
05:01 both training and utilization originally
05:04 utilized for producing Advanced 3D
05:06 graphics and games the technology of
05:08 a100 is frequently referred to as a
05:11 graphics processor or GPU however
05:14 presently Nvidia has configured figured
05:16 and aimed the a100 towards machine
05:18 learning duties and deployed it in data
05:21 centers rather than inside illuminated
05:23 gaming personal computers hundreds of
05:26 gpus are necessary to train artificial
05:28 intelligence models such as large
05:30 language models these chips must have
05:32 significant processing capabilities to
05:35 swiftly handle terabytes of data and
05:37 detect patterns furthermore gpus such as
05:40 the a100 are essential for inference
05:43 which involves using the model to
05:45 generate text make predictions or
05:47 identify objects within photos as a
05:50 result AI firms require access to a
05:52 considerable number of a100s some
05:55 entrepreneurs in this sector even regard
05:57 the quantity of a100s they can acquire
05:59 as an indicator of progress in January
06:02 emod mustac CEO of stability AI stated
06:06 on Twitter a year ago we had 32 a100s as
06:10 per the state of AI report which
06:12 monitors and Records which organizations
06:14 and universities possess the most
06:17 significant quantity of a100 gpus
06:19 excluding Cloud providers who don’t
06:21 disclose their figures publicly
06:23 stability AI now has access to over 5400
06:26 a100 gpus in comparison it is rumored
06:30 that Chachi DT is being trained on 25
06:33 000 of these a100 gpus Nvidia is
06:36 supposed to gain from the AI hype cycle
06:38 and the company’s strategy revolves
06:40 around the recent search and artificial
06:42 intelligence these gpus come with a
06:44 hefty price tag the cost of a100s can
06:47 quickly accumulate as seen in the
06:49 example of the open AI based Chachi VT
06:52 model inside Bing search which may
06:54 require 8 gbus to provide a response to
06:57 a question in less than a second
06:58 according to new streak research scaling
07:01 this model to everyone on Bing would
07:03 necessitate more than twenty thousand to
07:05 eight GB servers implying that
07:07 Microsoft’s feature could cost 4 billion
07:10 dollars in infrastructure expenditures
07:12 if you’re Microsoft and you want to
07:14 scale that to the level of Bing that’s
07:17 perhaps four billion dollars if you want
07:19 to scale to the level of Google which
07:21 handles eight or nine billion queries
07:23 per day you’ll need to invest 80 billion
07:26 dollars said Antoine scaben a technology
07:28 Analyst at New Street research as
07:31 exciting as the rumors of gdt4 and gbt 5
07:34 are it’s important to remember that they
07:36 are just that rumors while it’s likely
07:39 that open AI is working on these models
07:41 we don’t know for sure what they have in
07:43 the works however what we do know is
07:46 that the field of artificial
07:47 intelligence is rapidly advancing so
07:50 remember to subscribe to the channel to
07:52 stay updated on the latest news thanks
07:54 for watching
, , , #GPT5 #Trained #INSANE #Amounts #GPUs , [agora]