for any generative AI Whoever formulates the best, most creative and most unique AI prompts will create the best content (and save AI/API credits) Source: https://promptbase.com There is a marketplace (promptbase.com), which is dedicated to trading prompts – use it for inspiration!
flair.ai AI-generated product photography using a drag-and-drop approach that allows you to place product imagery in literally any environment you can think of: Source: https://pa.ag/3ZNrFqi
though we‘re still at an early stage, the uses mentioned below are very much possible today and allows for time and cost savings, as well as efficiency gains: Header images e.g., for blog posts or newsletters Social images e.g., for your various feeds such as LinkedIn, Insta, etc. Images for slides e.g., for pitch presentations, slide decks or story boards Image modification e.g., clean-ups, object removal, up-scaling, etc.
Univ. “We propose a new method based on a diffusion model (DM) to reconstruct images from human brain activity obtained via fMRI (functional magnetic resonance imaging)” Source: https://pa.ag/3ZBaHvG Reconstructing visual experiences from human brain activity offers a unique way to understand how the brain represents the world, and to interpret the connection between computer vision models and our visual system.
much possible Granted, it’s not perfect just yet, but it’ll do the trick. Solutions such as ElevenLabs.io or frameworks such as DeepFaceLab are available for free/at-minimum cost, to everybody: Source: https://pa.ag/3mIlAgF Good afternoon, everybody, this is President Obama speaking! My dear friend Bastian asked me to say hello. De-age the face Replace the head
AI-powered face-swapping was used to impersonate a friend during a live video call; the scammers received a transfer of 4.3 million Yuan: Source: https://pa.ag/3WH8wpz
dip A fake image showing an explosion near the Pentagon was shared by multiple verified Twitter accounts last Monday, causing confusion and a brief dip in the stock market: Source: https://pa.ag/434n6db
at)? Source: https://pa.ag/3ZDGZpE A LLM is a (deep) learning algorithm that can recognize, summarize, translate, predict and generate text and other content based on knowledge gained from massive datasets.
Googles’ MUM uses a text-to-text Transfer Transformer (T5) trained on the Colossal Clean Crawled Corpus (C4), which is significantly larger than BERT's training data Source: https://pa.ag/3EFfRfT (MUM) Basis: Web crawl (220 TB) with approx. 3 billion web pages (BERT) Basis: Wikipedia with approx. 56 million articles VS From a (Google) marketing standpoint it's easy to say that MUM is 10 times smarter than BERT…
“A Comprehensive Analysis of Datasets Used to Train GPT-1, GPT-2, GPT-3, GPT-NeoX- 20B, Megatron-11B, MT-NLG, […]“ Source: https://pa.ag/3UId4KA There are many more... ▪ Megatron-Turing NLG (Microsoft & Nvidia): 530 billion ▪ Pathways Language Model 2 (Google): 540 billion ▪ WuDao 2.0 (Beijing Academy of AI): 1.5 trillion
those training data sets? The idea: to precisely time malicious modifications just before a snapshot for inclusion in a web-scale dataset, aka “Frontrunning data poisoning”: Source: https://pa.ag/3LuJJ4L If an attacker can precisely time malicious modifications just prior to a snapshot for inclusion […], they can front-run the collection procedure. […] Even if a content moderator detects and reverts malicious modifications after-the-fact, the attacker’s malicious content will persist […]
data set expires, anyone can pay to take ownership and thereby gain the ability to return arbitrary content [malware, etc.]” You still have all those expired domains? You‘ll like this…
models Aside from misinformation, offensive content and hallucination, there’s lots more to know: Source: https://pa.ag/3tuOwJ9 Computing power The quality of the results improves as the size of the LLMs increases. Gains are incremental, while costs increase exponentially. Biased training data If biased data is used, the system will likely show the same bias when making decisions in practice. Environmental impact Training a large transformer model produces 5,680% more carbon emissions than one human per year. Static perspectives Large language models are usually trained once and used over long periods of time.
company developed an AI to help scale recruiting – which didn’t work so well… Source: https://pa.ag/4228GtP Amazon’s computer models were trained to vet applicants by observing patterns in resumes submitted to the company over a 10-year period. Most came from men, a reflection of male dominance across the tech industry. […] In effect, Amazon’s system taught itself that male candidates were preferable. It penalised resumes that included the word “women’s” and downgraded graduates of two all-women’s colleges.
uses AI music generation to compose unique mood-based music to suit every part of your creative piece, e.g., video (can be drag and dropped while creating): Source: https://pa.ag/3T9xQD4
AI: Removes background voices, noises and echo from all your calls Cleanvoice AI: Removes filler sounds, stuttering and mouth sounds from podcasts or audio recordings Podcastle AI: Studio-quality recording, editing, and seamless exporting – in a single web platform soundraw.io: Royalty-free music, AI generated based on mood, genre and length. Descript.com: To write, record, transcribe and edit video and podcasts Soundbite AI: Turn new and existing audio and video content into ready-to- edit social media posts, and summaries.
a cost-effective localisation of video ads assets: Step 1: Transcribe original script and localise into desired language Step 3: Input your localised copy and export script Step 2: Decide on the voice and style you'd like to use Step 4: Add the new script to your video and adjust until it sounds perfect New FR version Our task/challenge: A client wanted to use a video in different regions but didn’t have local employees to voice the scripts. Original DE
cool: Just look at how it transfers the style of any image or prompt to every frame of a video: Source: https://pa.ag/41WwvTp Source Video Generated Video Driving Image
Generate custom emails and responses based on short prompts; create one click email thread summaries including action points for the receiver: Source: https://www.maestrolabs.com
using Taplio Establishing a personal brand on LinkedIn is a key pillar of growth. Stop wasting endless hours writing your next post and get fresh ideas using Taplio’s content inspiration layer: Source: https://taplio.com
Your meeting assistant that records audio, writes notes, automatically captures slides, and generates summaries: Source: https://pa.ag/3LhCcWC Word of advice (and caution, again): It's super practical but getting consent to record is important – especially since some services can automatically send meeting summaries by email afterwards! Also, I am not a lawyer.
custom ML models in minutes – no technical background needed. Just connect with a data source of your choice (e.g., CSV, SQL, BigQ) and you’re go to go: Source: https://pa.ag/3JwknSC
and their models: 1. Sales forecasting – e.g., understanding when customers are likely to buy. 2. Churn prediction – e.g., finding out which customers are likely to cancel next. 3. Lead scoring – e.g., understanding which sources generate the highest purchase intent.
do you structure it? Some tips to create better and more efficient prompts for ChatGPT (h/t Mike King): Source: https://pa.ag/42KbNpH Role Who is ChatGPT creating as? Context What is the situation it is creating for? Instructions What specifically do you want it to do? Format How do you want it to return its response? Examples Samples of the output that you expect. Constraints What should ChatGPT not do?
Access a curated selection of ChatGPT prompts specifically designed for SEOs, marketers, sales, support, copywriting and more : Source: https://aiprm.com/
on AI in search Bings’ integration of OpenAI’s LLM into its search engine kicked-off a whole series of changes for search in general (some changes are still to come):
Meet Google Bard (which is not officially available in Europe just yet…) Source: https://bard.google.com/ Just use a VPN service of your liking and set your IP origin to the US, or Switzerland even.
Leverage OpenAI’s API to use the maximum number of Google responsive search ads assets and, in turn, boost your paid search campaigns: Source: https://pa.ag/40GipUM & https://pa.ag/3phXv1B Another interesting idea:
“The main feature is the ability to use ChatGPT to independently create prompts to plan how to complete a task and then create more prompts for finishing that task.” Source: https://pa.ag/3oWAuRr If the AI agent finds itself unable to complete the task, it will create new prompts to figure out how to proceed. [… ] Auto-GPT is self-prompting, removing the need for creative and detailed prompts. All it needs is a set of goals for a task to complete.
results And their very own (pretty horrible) on-site search will most likely undergo a full makeover as well: Source: https://pa.ag/3Fl5ZKe & https://pa.ag/3WUrTfb Amazon has released a new LM that outperforms GPT-3.5 on ScienceQA by 16 percentage points, or with 75.1% to 91.6% accuracy
maybe Amazon (and Google Search) will just disappear?! Source: https://pa.ag/43dXmez “The technology could radically change user behaviour resulting in people never needing to visit a search website again […] “
This isn't strictly a topic for growth, but "interacting with AI“ will soon be part of your daily (work) activities – and you might not even know it: Sources: https://pa.ag/3ASowLb & https://pa.ag/43z5tC0 Invoking Windows Copilot is easy – the button is front and center on your taskbar – simple to find and use. Once open, the Windows Copilot side bar stays consistent across your apps, programs and windows, always available to act as your personal assistant.
for better results This paper shows that LMs can teach themselves to use external tools via simple APIs Source: https://pa.ag/3T1Nq3z Toolformer: A model trained to decide which APIs to call, when to call them, what arguments to pass, and how to best incorporate the results into future token prediction.
“As our systems get closer to AGI, we are becoming increasingly cautious with the creation and deployment of our models.” Source: https://pa.ag/3mxjSOU The first AGI will be just a point along the continuum of intelligence. We think it’s likely that progress will continue from there […] If this is true, the world could become extremely different from how it is today, and the risks could be extraordinary. A misaligned super intelligent AGI could cause grievous harm to the world; an autocratic regime with a decisive superintelligence lead could do that too.
though? Source: https://pa.ag/3mxjSOU Successfully transitioning to a world with superintelligence is perhaps the most important— and hopeful, and scary—project in human history. Success is far from guaranteed, and the stakes (boundless downside and boundless upside) will hopefully unite all of us.
dogfight In a joint project between DARPA and the US Air Force, a special aircraft called the X-62 Vista became the first tactical aircraft to be piloted by AI: Source: https://pa.ag/3JtRtlS The jet was under the control of one of four different AI algorithms at any given time during the tests. […] This included dogfighting in simulated combat missions, as well as takeoffs and landings
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