#AI Insights

[kakief]

AI Is Everywhere—But Are We Really Talking About It?

A Moment That Made Me Pause Not long ago, I led an Artificial Intelligence (AI) workshop with a group of executives. As expected, some had technical questions about AI’s practical applications in business. But what surprised me were the personal angles—leaders wondering how AI might change education for their kids, whether it would impact job security for their teams, or even how it might shift…

[futurefatum]

⚪🧮🕵2024 in Review and Trends Shaping 2025

From AI breakthroughs to spiritual awakening, 2024 shaped the trends of 2025. Explore insights & our mission to guide the future. 🌍✨ #FutureFatum

A Commitment to Observing, Interpreting, and Guiding the Future As we close out 2024, FutureFatum reflects on the lessons learned and the trends we’ve observed in a year that was dedicated to discovery, observation, and forming our identity. 2024 was a foundational year—one in which we sought to understand how predictions and patterns emerge from an ever-growing network of data, insights, and…

[vengoai]

Unlock the secrets to leveraging AI for growth and customer trust with Jason Sherman’s expert insights for Vengo AI. Read more: https://t.ly/NRV64

[spinnrblog]

Unlock the secrets to leveraging AI for growth and customer trust with Jason Sherman’s expert insights for Vengo AI. Read more: https://t.ly/NRV64

[stratosiq]

Turn feedback into action with StratosIQ! Discover insights that matter—like this clothing retailer who improved customer satisfaction by addressing sizing issues. Make smarter decisions, faster.

[trendoptimizer]

🚀 AI-Driven Strategies to Unlock Full Monetization Potential on YouTube! 💰🤖

Take your YouTube earnings to the next level with smart AI strategies! From boosting engagement and refining content to understanding viewer insights, AI tools can help you maximize revenue and reach your channel’s full potential. Embrace the power of AI to supercharge your monetization journey! 🎥✨ Click this link : https://tinyurl.com/fbhea698

[techdriveplay]

What Is the Best Way to Use AI in Content Creation?

Artificial Intelligence (AI) has transformed various industries, and content creation is no exception. By understanding what is the best way to use AI in content creation, creators can leverage this technology to enhance productivity, quality, and creativity. From automated writing tools to data analysis, AI offers diverse applications that can streamline the content production process, ensuring…

[innova7ions]

YouTube Success Secrets: Why vid IQ Reigns Supreme

Unlocking YouTube success is all about having the right tools, and in this video, we dive into two heavyweights: VidIQ and Tube Magic. While both promise to elevate our channels, VidIQ stands out with its long-standing reputation among seasoned creators who rely on data-driven strategies for growth.

With powerful SEO and analytics features, VidIQ offers AI insights that enhance our titles, tags, and descriptions for better visibility. Plus, competitor analysis gives us an edge in our niche. From trending topic suggestions to a wealth of resources at VidIQ Academy, it’s clear why serious creators choose this tool for their journey toward YouTube dominance.

#YouTubeDominance

#YouTubeSuccess

#VidIQ

[isubhamdas]

Google AI Overviews-Adapting Strategies for Advertisers

As Google expands its AI Overviews in Search results, advertisers must adapt their strategies to stay competitive. This article outlines five essential tactics to navigate the evolving paid search landscape, including broad match adoption, value-based bidding, multi-channel measurement, and leveraging Performance Max and Demand Gen campaigns. Continue reading to learn how to prepare for the…

[kariniai]

Amazon Bedrock and the Rise of Compound AI Systems

Introduction

Generative AI has become a shared C-Level priority with many enterprises setting goals in their annual statement and numerous press releases. As Generative AI is gaining traction, there is much anticipation around their evolving model performance capabilities. However, as developers increasingly move beyond Generative AI pilots, the trend is shifting to compound systems. The SOTA results often come from compound systems incorporating multiple components rather than relying solely on standalone models. A recent study by MIT Research has observed that 60% of LLM deployments in businesses incorporate some form of retrieval-augmented generation (RAG), with 30% utilizing multi-step chains or compound systems.

Rise of Compound Systems

A Compound AI System addresses AI tasks through multiple interconnected components, including several calls to different models, retrievers, or external tools. AI models are constantly improving, with scalability seemingly limitless. However, complex, multifaceted compound systems increasingly achieve the most advanced results. Combining the models with other components allows businesses to build dynamic systems that can address complex scenarios based on user queries at runtime, reduce model hallucinations, and increase user control and trust. Enterprises can design their compound systems based on their performance goals. E.g. In some applications, even the largest model may need to be more performant or too expensive. Still, an ensemble of smaller fine-tuned models augmented with optimized search and retrieve capabilities can give the best results. Github Copilot is an excellent example of this approach. While enterprises are making a shift in compounding AI systems, the emerging challenges are how to design, optimize & operate these systems. The compound systems consist of a data processing loop, query optimization loop, and operations management capabilities, and they can be independently optimized for better performance.

Karini AI Platform powered by AWS Gen AI for Compound AI Systems

AWS provides a broad set of Gen AI managed services such as Amazon Bedrock, Amazon SageMaker, and OpenSearch to build scalable generative AI applications. Amazon Bedrock is the most trusted and scalable fully managed service that offers a choice of high-performing foundation models from leading AI model providers and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Karini AI is a no-code Generative AI platform with a broad set of capabilities to build Compound AI systems purposefully built using AWS services to speed up production-grade application development. AWS customers can use best-of-breed capabilities to build production-grade RAG in a matter of minutes.

Data Processing Loop: Karini AI utilizes Amazon Textract and proprietary technologies to create LLM-ready data and provides built-in chunking algorithms. Customers can choose Amazon Bedrock hosted models or custom models hosted via Amazon SageMaker for chunking. Amazon OpenSearch delivers a secure and scalable vector store.

Query Optimization Loop: Karini AI employs the easy-to-use Prompt Playground to author, test, and compare the model performance of Bedrock-hosted models or custom models using Amazon SageMaker. Enterprises can leverage one of the many built-in chains, such as Q&A, summarization, classification, or Agentic workflows. Multiple ways are available to optimize retrieval using techniques such as query rewrite, query expansion, and context generation. Customers can also customize LLM-driven responses for greetings and follow-up questions.

Operations and Visibility: Karini AI provides built-in observability for tracing RAG chains and understanding low performing conversations. Copilot supports fine-grained feedback collection to gather user preferences and create instruction fine-tuning datasets. The built-in dashboards provide system performance and cost monitoring across model endpoints for Amazon Bedrock and SageMaker-hosted models. Karini AI provides enterprise connectors for significant number of data sources such as Amazon S3, Websites, Google Storage, Azure Storage, and Dropbox to unify data silos into a single vector store and also respects source system role-based access controls during serving.

Here is a quick end-2-end Karini AI Generative AI recipe powered by Amazon Bedrock models.

Conclusion:

Compound AI systems mark a significant advancement in AI technology by integrating various components to solve complex challenges that were once out of reach for traditional AI models. These systems are highly flexible, allowing for tailored responses and greater control over outputs. Karini AI’s advanced platform, coupled with Amazon Bedrock, enables the creation of sophisticated compound AI systems for any use case. By adopting these systems, businesses can enhance innovation, increase the quality and reliability of their AI solutions, and build stronger trust with their customers.

About Us: Fueled by innovation, we're making the dream of robust Generative AI systems a reality. No longer confined to specialists, Karini.ai empowers non-experts to participate actively in building/testing/deploying Generative AI applications. As the world's first GenAIOps platform, we've democratized GenAI, empowering people to bring their ideas to life – all in one evolutionary platform. Contact: Jerome Mendell (404) 891-0255 sales@karini.ai https://www.karini.ai/

[aur0raaura]

I can FINALLY SHOW THIS ARTWORK RAAAAAAAAAAAAAAAH Here's my contest entry for the Pokemon TCG Illustration Contest 2024! I drew Koraidon! Sadly I didn't get in the Quarter-Finals, but that's fine. There's always next year!

[cozylittleartblog]

The animation strike is looking more and more likely, please be ready to support creatives this summer and boycott Hollywood again if you care about animation or the human artists who make it happen.

+ indie animation youtube playlist

[casualavocados]

so i've been going down several translation holes while giffing kiseki... finding different sources which have their own translations, etc. then trying to choose the words that fit the meaning of the scene im giffing best.

i just wanna talk about two lines in particular that have made me tilt my head and wonder about nuances, so here we go:

the first line/translation i want to mention is from ep9, and is to do with the meaning and intention of the characters/story. it's when chen yi is confronting ai di after he gets out of prison about the time ai di slept with him four years before. i found three different versions of what ai di cuts him off with:

these all contain insanely different meanings in english. i was losing my mind trying to figure out the subtleties of what ai di was saying here, so i reached out to a very helpful speaker of the language who has made kiseki translation posts before, @nikkotinamide , and they said this about it:

and i just got so excited about that...the nuance! the specifics! referring to it as "settling accounts" is likely where the first translation about "the past" comes from, but the other two are closer to the true meaning. however, if you simply went with the revenge line you would miss the complexities that are being suggested in ai di's character.

thinking of that night as a debt he owes to chen yi and has to pay back... as something to be settled - something he isn't even really asking about but more expects chen yi to follow through on... it makes this line so much more poignant to me because it describes his guilt and heartbreak about what happened between them - about what ai di chose to do - in a much more specific and cutting way. ai di expects anger, rejection, and retaliation from chen yi, and tries goading him into reacting in those ways bc he believes he has done something unforgivable (and also that chen yi doesn't (and will never) love him), so he would rather chen yi push him away than risk being that close again.

(un?)luckily for him chen yi is absolutely smitten with him and doesn't let him get away with it. ♥️

the second translation i want to focus on is in ep12 & has more to do with words that don't translate exactly into english, but i went on a similar bender trying to decipher it:

specifically the translation of the last two characters: "堂口 (táng kǒu)" - the word translated here as "office".

bc outside of youtube i found those characters also translated as "headquarters," "gang," and "hall", which are all, again, wildly different from each other. so my best guess was that it was actually a very specific word that highly depended on the context it was being used in, and that context was being translated generally so that non-speakers in the audience would understand. but i wanted to know what that specific word and context was!

so i reached out to a bestie who did some more digging and she found this:

which IMMEDIATELY made me batshit insane because of course that's what it means; of course it's that specific!!

"office" is too professional for where chen yi lives - it's a car garage; it's their front as an auto shop. but it's also not yiyun's "headquarters" because that's the building with the spa where chen dongyang and his husband operate out of: the true central point of the gang. but because of this other line in episode 3, we know chen yi (and ai di too through association; they're a pair, do not buy separately, etc.) leads a specific division of yiyun gang:

so when chen yi asks ai di in ep12 if he's going to the bar or to "堂口" he's asking if he's coming home to the auto shop: their specific division of the gang, (which we knew all along was what he was talking about in the first place).

(...and this is just me continuing with the meta side of it, not the translations, but i also think this connects to what xiao jie and ai di were both talking about when they brought up chen yi's succession as the leader of yiyun:

because chen yi is currently just a leader of one branch of the gang, and young (25 at the point where cdy retires), so to me it makes sense that older, senior members of the gang - possibly even leaders of other divisions - would want that spot. but chen yi is practically cdy's son so get wrecked guys the gang passes to him. 🥰

and that's also why cdy is urging ai di to just come back and be a member again. bc he raised both chen yi and ai di (they are a pair, do not buy seperately) and because chen yi is gonna need ai di to watch his back as he takes over full responsibility. ...im mad we didn't get to see more inter-gang dynamics. that could have been so COOL let me IN.)

anyway those are the two translation bits that have left the biggest impression on me while i've watched and giffed kiseki so far. i just think language is so fucking neat.

[beyourselfchulanmaria]

💋 I Love AI made the photo Lan with silver curly hair and tattooed (大波浪的銀髮刺青蘭/ ) Unreal but delightful beauty不真實卻令人開懷的美~*) \(^0^)/

 ❖  ❖  ❖  ❖  ❖  ❖

Reading Book . . .

「師傅，工廠已經這樣了"就去它娘的吧"，餓不死土裡的蚯蚓就餓不死咱們工人階級。 If an earthworm in the ground won't starve to death, then neither will we, the working class.” He”」

─ Mo Yan, Shifu, You'll Do Anything for a Laugh: A Novel /莫言 《師傅越來越幽默》第5章.  (Chinese writer, b. 1955) Literary movement Magical & realism. Nobel Prize winner in Literature 2012. His original name is Guan Moye (管謨業). 

📌 He has been awarded the Nobel Prize in Literature 2012 for his work which "with hallucinatory realism merges folk tales, history and the contemporary". Among the works highlighted by the Nobel judges were Red Sorghum (1987) and Big Breasts & Wide Hips (2004), as well as The Garlic Ballads.

《師傅越來越幽默》Shifu, You'll Do Anything for a Laugh | Book Read Free In English 👇 https://bookreadfree.com/396781/9757727.amp 中文 👇 https://read.99csw.com/book/3359/

and Listening for novel 👇 你也可以用聽的 ;-)

🎧 莫言的中篇小說欣賞：《師傅越來越幽默》Shifu, You'll Do Anything for a Laugh via 字裡行間一點悟 @Calligraphy-insight Channel on YouTube

About writer - Mo Yan 莫言

China''s most critically acclaimed author, has changed the face of his country''s contemporary literature with such daring and masterly novels as Red Sorghum, The Garlic Ballads, and The Republic of Wine. In this collection of eight astonishing stories--the title story of which has been adapted to film by the award-winning director of Red Sorghum Zhang Yimou--Mo Yan shows why he is also China''s leading writer of short fiction.

His passion for writing shaped by his own experience of almost unimaginable poverty as a child, Mo Yan uses his talent to expose the harsh abuses of an oppressive society. In these stories he writes of those who suffer, physically and spiritually, under its yoke: the newly unemployed factory worker who hits upon an ingenious financial opportunity; two former lovers revisiting their passion fleetingly before returning to their spouses; young couples willing to pay for a place to share their love in private; the abandoned baby brought home by a soldier to his unsympathetic wife; the impoverished child who must subsist on a diet of iron and steel; the young bride willing to go to any length to escape an odious, arranged marriage. Never didactic, Mo''s fiction ranges from tragedy to wicked satire, rage to whimsy, magical fable to harsh realism, from impassioned pleas on behalf of struggling workers to paeans to romantic love.