logo
Exploring DeepSeek: The Future of Open-Source AI in Enterprise Search and Beyond

Exploring DeepSeek: The Future of Open-Source AI in Enterprise Search and Beyond

Artificial Intelligence (AI) has rapidly evolved from research labs to real-world applications across every industry. Among the latest innovations making headlines in the open-source community is DeepSeek, an advanced AI language model that blends the power of large language models (LLMs) with enterprise search capabilities. Developed by DeepSeek AI, this model promises to revolutionize how businesses interact with their internal data, drive productivity, and implement intelligent automation.
So, what makes DeepSeek unique, and why should businesses and tech professionals keep it on their radar? Let's delve deeper.
DeepSeek is a cutting-edge, open-source large language model (LLM) designed to compete with industry giants like OpenAI's GPT models, Google's Gemini, and Meta's LLaMA. Created by DeepSeek AI, a China-based startup, DeepSeek offers two flagship models—DeepSeek-V2 and DeepSeek-Coder—that cater to general-purpose text generation and code-related tasks respectively.
These models are trained on massive multilingual and code datasets, enabling them to perform a wide range of tasks including document summarization, code generation, language translation, and enterprise data search. DeepSeek's primary objective is to offer a free, powerful alternative to proprietary AI tools—enabling greater transparency, adaptability, and innovation. Open-Source and Community-Centric
One of DeepSeek's most appealing features is its open-source availability. Developers and businesses can freely access, customize, and deploy DeepSeek's models, promoting innovation across borders. This democratization of AI technology significantly reduces dependence on paid, closed-source models. Multilingual and Multimodal Capabilities
DeepSeek's models are trained on 2 trillion tokens, incorporating both natural language and code from diverse sources. This allows the models to support multiple languages, making them a great fit for global applications. Moreover, DeepSeek is continuously evolving toward multimodal integration, such as text-to-image or voice-to-text functionalities. Tailored for Enterprise Search and Knowledge Management
Unlike generic LLMs, DeepSeek is optimized for enterprise-level data retrieval. It can understand and search through complex datasets, documents, and knowledge bases—providing meaningful, context-aware answers that can enhance workflows and decision-making. Competitive Performance
In several benchmark tests, DeepSeek's models have outperformed other open-source competitors like Mistral and Falcon, and even rivaled GPT-3.5 in some areas. Its code-focused variant, DeepSeek-Coder, demonstrates exceptional skill in generating, refactoring, and debugging code snippets across multiple programming languages.
The versatility of DeepSeek makes it ideal for a range of industries and use cases: Enterprise Knowledge Base Search: Businesses can integrate DeepSeek into their internal systems to create smart knowledge management solutions that allow employees to quickly find relevant information from policy documents, technical guides, and databases.
Businesses can integrate DeepSeek into their internal systems to create smart knowledge management solutions that allow employees to quickly find relevant information from policy documents, technical guides, and databases. Customer Support Automation: DeepSeek can power intelligent chatbots capable of handling complex queries by pulling data from various internal sources, enhancing customer experience while reducing human workload.
DeepSeek can power intelligent chatbots capable of handling complex queries by pulling data from various internal sources, enhancing customer experience while reducing human workload. Software Development: Developers can leverage DeepSeek-Coder for code generation, translation between programming languages, and real-time debugging suggestions—speeding up software development cycles.
Developers can leverage for code generation, translation between programming languages, and real-time debugging suggestions—speeding up software development cycles. Research and Content Creation: Writers, analysts, and marketers can use DeepSeek to generate content drafts, summarize research papers, and create multilingual reports, improving productivity across creative and academic domains.
In an era where digital monopolies dominate the AI landscape, open-source LLMs like DeepSeek play a crucial role in ensuring accessibility, affordability, and innovation. They empower startups, researchers, and small businesses to compete on a level playing field without being locked into expensive ecosystems.
Moreover, open-source AI models are auditable, allowing users to inspect how decisions are made—an essential feature for industries that demand transparency, such as finance, healthcare, and legal sectors.
DeepSeek AI continues to evolve its technology with the aim of developing a multimodal general AI agent, capable of seamlessly understanding and generating text, image, and audio content. Its recent model updates include Mixture of Experts (MoE) architecture, which enables the AI to activate only a subset of model parameters per task—improving performance while reducing resource consumption.
The DeepSeek team is also actively encouraging contributions from the global open-source community, inviting developers and researchers to fine-tune, extend, and deploy the model for unique use cases.
As the world leans increasingly into AI-powered solutions, DeepSeek emerges as a promising, open-source alternative that combines flexibility, enterprise-readiness, and innovation. Whether you're a developer building a smart application, a business looking to streamline internal processes, or a tech enthusiast exploring AI's next frontier—DeepSeek is a project worth watching.
By placing the power of advanced language models into the hands of the public, DeepSeek is helping shape a more open, intelligent, and collaborative digital future.
Want to integrate AI into your business?
At Infowind Technologies, we specialize in building custom AI solutions that align with your strategic goals. From LLM integration to AI-powered chatbots and enterprise automation tools, our expert team is here to help you lead in the age of intelligence.
TIME BUSINESS NEWS

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Work From Home Salaries 2025
Work From Home Salaries 2025

Buzz Feed

time44 minutes ago

  • Buzz Feed

Work From Home Salaries 2025

Recently, I asked the BuzzFeed Community if they would anonymously share their salaries with me. Over 1,000 people told me their salaries, and some of them even told me they work remotely/from home. Here are only the salaries from those who work from home, which I think provides a really fascinating snapshot. "I'm the VP of Marketing for a software company working remotely. $250K base, with 25% bonus and equity for future company exit." "$80K. 25 years as a 401(K) administrator at a nationally known company, working from home." "Registered nurse for 17+ years, quality specialist at a not-for-profit hospice, remote work, and I make $87K." "$73K a year. I work as a product designer at an agency specializing in Shopify e-commerce. I have 2–3 years of experience." "$94K. Paralegal in a niche area of real estate. Love that I went from in-person (big law) to remote (small firm) with an 8% bump in base pay. No complaints here." "$700K, staff software engineer at a big tech company." "Key account manager for a major beverage corporation manufacturer. $150K." "I'm a cybersecurity manager for global biotech. $180K base + $100K in stock and bonuses. No degree, but 26 years of experience and lots of certifications." "I am a virtual internal medicine doctor, fully remote. I earn $530K annually." "I am an administrative contracting officer for the US Department of Defense, and I make $122K per year with the best benefits (worth $50K), and unmatched work/life balance. I am also 100% remote. Proud to Serve. USA!" "Senior software engineer, 10 years experience, working remotely at an established start-up, $180K/year plus all the usual benefits." "$42K customer service rep for an insurance advisory firm. 100% remote with a bachelor's degree and an insurance license." "Executive search consultant. I'm in-house with a base of $120K, and my usual bonuses range from $40-85K. Usually, [I make] $185K annually. I'm super specialized and not commission-based." "I'm in IT Support, $90K, 100% remote." "I earn $275K annually, plus long-term incentives as the leader of a small division within a software company." "Customer support operations manager. Remote, $69K salary, no college degree." Finally, "Project manager, $95K. I have a master's, but it's not required." Do you work from home? If so, tell us your salary and how much you make either in the comments or completely anonymously in the Google form below. Your entry may be in an upcoming BuzzFeed Community post.

Windows has a major AI problem, and it's pushing me closer to Apple
Windows has a major AI problem, and it's pushing me closer to Apple

Digital Trends

timean hour ago

  • Digital Trends

Windows has a major AI problem, and it's pushing me closer to Apple

Just over a year ago, Apple Intelligence was announced. It continues to be somewhat of a 'meh' affair compared to other rival products like Microsoft's Copilot and Google's Gemini. What was not 'meh' was the support for Apple's generative AI bundle, which extended all the way back to the M1 silicon introduced in 2020. Even the fresh batch of AI features — such as live translations and intelligent Shortcuts — are fully supported on the machines that will soon be five generations old. I can't say the same about Windows and its AI-powered rebirth with the Copilot package. Before confusion ensues, let me clear things up. Recommended Videos Copilot is a suite of AI features, just like Gemini or Apple Intelligence. Then we have Copilot+ machines, which is a branding for PCs that meet certain hardware-level requirements to enable AI-powered features on Windows laptops and PCs. Here's the weird part. A healthy bunch of Intel silicon launched in 2025 — even those in the powerful 'H' class — don't meet those AI processing requirements. All of it has created a weird kind of divide in the Windows ecosystem where certain advanced AI features are locked to a handful of cheaper machines, even if you paid a much higher price to get a laptop with a far more powerful processor. Oddly, it's not just the hardware, but the software experience that now feels different. Copilot+ is not merely AI hype Before we get into the hardware limitations, let's break down the features. Copilot+ machines require a powerful hardware chip for AI acceleration to enable certain features, down to the OS level. For example, in the Settings app, Microsoft is pushing its own Mu small language model (SML) that runs entirely on the NPU. The NPU on a chip, however, must meet a certain performance baseline, something not even Intel and AMD silicon launched in 2025 fulfill universally. Let's start with the AI-powered Settings app interactions. It can now understand natural language queries and make suggestions so that users can directly take action with a click. If you type something like 'My screen doesn't feel smooth,' the Settings app will show a dialog box underneath the search bar, where you get an actionable button to increase the refresh rate and make the interactions smoother. Apple is chasing something similar and has implemented it within the Spotlight system in macOS Tahoe. Next, we have Recall. It's like a time machine system that takes snapshots of your PC activity in the background and analyzes them contextually. In the future, if you seek to revisit or find something, you can simply type a natural language query and find a record of the activity, complete with a link to the webpage or app you were working with. It almost feels magical, and you can read more about my experience here. The crucial benefit is that a healthy bunch of Copilot+ AI features will run on-device, which means they won't require an internet connection. That's convenient, but in hindsight, it's a huge sigh of relief that all user activity remains locked to your device and nothing is sent to servers. Copilot+ hardware also enables a bunch of creative features such as Cocreator and Generative Fill in Paint, Super Resolution, Image Creator, and Restyle in the native Photos app. But there are a few that are meaningful for day-to-day PC usage. With Click to Do in the Snipping Tool, the AI analyzes the text and image on the screen, somewhat like Google Lens and Apple Intelligence. You can select text, look it up on the web with a single click, send email, open a website, summarize, rewrite, and take a wide range of image actions such as copy, share, visual search in Bing, erase objects, remove background, and do more — without ever opening another app. On the more practical side of things, we have translated Live Captions that cover over 40 languages. The translation and captioning happen in real-time and work during video calls and video watching, too. Finally, we have Windows Studio Effects, which can perform chores such as automatic frame adjustment, portrait lighting tweaks, switch background effects, minimize noise, and even make gaze adjustment. The Copilot+ hardware wall Even if you splurge $4,899 on a Razer Blade 18 with an Intel Core Ultra 9 275HX processor and Nvidia's top-of-the-line GeForce RTX 5090 graphics, your beastly gaming laptop still won't be able to run the Copilot+ features in Windows 11. That's because the NPU on this processor can only manage 13 TOPS, but a pint-sized $800 Microsoft tablet with a Qualcomm Snapdragon X processor can handle all the exclusive Copilot+ features just fine. It's disheartening, because the Copilot+ experiences in Windows 11 are meaningful OS advancements. Most of them, at least. I have used a few of them extensively, and they feel like a practical evolution. Yet, depriving machines that merely miss out on a powerful NPU, despite packing plenty of compute and graphics processing power, is simply unfortunate. Microsoft has laid out tight hardware requirements for machines that can bear the Copilot+ badge — 256GB of storage, 16GB DDR5 RAM, and a processor with a dedicated AI accelerator chip that can output a minimum of 40 TOPS performance. That's a bottleneck from both ends. First, there are still a healthy bunch of machines that ship with 8GB of RAM, and that too, the DDR4 type memory. Take, for example, the Asus Vivobook 17, which costs $700 and ships with 8GB of DDR4 memory on the entry-point configuration, even with the variant that packs a 13th-generation Intel processor. Let's say you pay up to reach 16GB of RAM. Despite that added stress on your wallet, you are still limited by the RAM type and won't be able to run Copilot+ tools on the machine. It's worth mentioning that there are a LOT of Windows machines that still pack 8GB of RAM, and even when they go up to 16GB capacity, they still rely on the DDR4-type memory. Now, it's time to address the elephant in the room. The silicon situation. The latest from Intel is the Ultra 200 series processor family, which is bifurcated across Arrow Lake and Lunar Lake lines. These Ultra 200 series processors are available in four formats: V-series, U-series, H-series, HX-series, and H-series. Out of the four brackets, only the V-series processors support Copilot+ experiences on Windows 11. Even the enthusiast-class H and HX series processors don't meet the NPU requirements, and as such, they are devoid of the Copilot+ AI features. As perplexing as the situation remains with Intel Core 200 series silicon, the situation with AMD and its Copilot+ readiness isn't too different. At the moment, only AMD's Ryzen AI 300 series processors fall under the Copilot+ bracket. That means if you invested in a top-shelf AMD silicon in the past few years, or even aim to build an AMD gaming rig this year, you either lose out on Copilot+ perks or must pick from the Ryzen AI 300 series line-up. Even older Macs do better The situation with Copilot+ is weird because it has created fault lines in the Windows 11 experience that don't make sense, neither from a price perspective, nor from a firepower angle. It even makes one feel bad about spending a fortune on a top-tier Intel processor, only to find it locked beyond next-gen AI features in Windows 11 because the NPU isn't up to the task. The only other option is to pick a Qualcomm Snapdragon X-series processor. But in doing so, you run into the compatibility hurdles that come with Windows on Arm. Plus, the GPU limitations rule out gaming or other demanding tasks where you need a powerful GPU. Right now, it seems like Copilot+ is a bag of serious caveats. And as Microsoft's team comes with more AI-first experiences, the gulf within Windows 11 is only going to widen. An $800 Copilot+ machine will run native AI experiences that even a powerful desktop won't be able to handle in the near future. The situation within the Apple ecosystem is just the opposite. Even if you have a nearly five-year-old M1 MacBook Air, you can run all the Apple Intelligence features just fine. Now, one can argue that AI is not the deciding factor for picking up a laptop. But as companies like Microsoft, Apple, and Google deeply integrate AI packages such as Copilot, Siri, and Gemini across their OS at the native level, these AI features will essentially serve as a key computing evolution. Google has already given us a glimpse of how tightly interweaving Gemini across its Workspace tools can flesh out, and somewhat similar is the progress of Apple Intelligence within maCOS. But when it comes to the OS-level AI progress, it's Microsoft that finds itself in an odd place where a huge chunk of Windows 11 users are going to feel left out, while macOS users will move forward just fine even on aging hardware.

Google Photos Supercharges Ultra HDR Photos: Here's What You Can Do Now
Google Photos Supercharges Ultra HDR Photos: Here's What You Can Do Now

Forbes

time2 hours ago

  • Forbes

Google Photos Supercharges Ultra HDR Photos: Here's What You Can Do Now

Google Photos just received a significant update that dramatically improves how it handles Ultra HDR ... More pictures. Key Takeaways Google Photos just received a significant update that dramatically improves how it handles Ultra HDR pictures. Now, you get expanded editing capabilities, greater control over HDR intensity and the ability to enhance standard photos into Ultra HDR. How Has Google Photos Upgraded HDR Editing and Why Does It Matter? Ultra HDR pictures unlock your display's full range of brightness and color, creating more vibrant images compared to standard (SDR) photos. However, while almost all photo apps can open and edit Ultra HDR files, the HDR effect will then be lost unless the app is specifically coded to handle Ultra HDR. Ultra HDR images can really pop on social media, so you'll want to retain the HDR effect wherever possible. Thanks to this Google Photos update, you can now edit and save Ultra HDR pictures using its most powerful AI-based features, such as Photo Unblur, Magic Eraser and Portrait Light. While these tools did work before, using them would cause Ultra HDR pictures to revert to SDR. Simple adjustments such as cropping and rotating worked, but more complex adjustments and filters would strip out the HDR information, resulting in a significant loss of quality. Now you can utilize advanced tools to create Ultra HD pictures that were previously impossible. Google Photos: New Ultra HDR Tool Works On SDR Pictures Too! Google Photos now offers a new "Ultra HDR" control that adjusts the intensity of the HDR effect and ... More even add it to SDR photos. To provide greater control over HDR output, Google has added a new 'Ultra HDR' editing tool, represented by a simple slider that allows you to adjust the intensity of the HDR effect from 0 (completely off) to 100 (maximum strength). Previously, the Ultra HDR effect was either on or off, with no way to adjust it. FEATURED | Frase ByForbes™ Unscramble The Anagram To Reveal The Phrase Pinpoint By Linkedin Guess The Category Queens By Linkedin Crown Each Region Crossclimb By Linkedin Unlock A Trivia Ladder A notable feature of this tool is that it can also add Ultra HDR effects to SDR images. The effect won't be as good as if you were working on an Ultra HDR original, as the app has to 'guess' any brightness information that wasn't present in the original file and won't always be able to reproduce highlight details effectively. However, the results can also be quite convincing. If you're new to Ultra HDR, the new slider is a great way to learn how the effect works. Try it on a contrasty image, such as a sunset, and you should see the results immediately. Most Raw files, and some SDR files saved in advanced 16-bit or 32-bit formats, contain valid information for creating true Ultra HDR images, however, Google Photos doesn't yet support such conversions. To unlock the potential of these files in Google Photos, you'll need to first edit them in an external app that supports HDR, such as Adobe Lightroom, and save them as HDR JPEGs before opening them in Google Photos. I wrote more about the new HDR conversion tool in a previous article after its initial discovery two months ago. Ultra HDR: Too Compatible For Its Own Good? The genius of Ultra HDR lies in its compatibility. Because it's based on the standard JPEG format, you can display and edit Ultra HDR files in basic SDR mode without any special software. The flip side to that coin is that developers can decide that SDR mode is 'good enough' rather than committing resources to adding Ultra HDR support. In expanding Ultra HDR support in Google Photos, Google is now leading by example, which should help raise user expectations and encourage wider support of the format from other developers. Crucially, giving users complete control over the HDR effect, including the ability to reduce it to zero, will prevent situations where unpleasantly bright images prompt users to turn off Ultra HDR entirely. Follow @paul_monckton on Instagram. Subheading

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store