#Llama2
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govindhtech · 1 year ago
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MediaTek Dimensity 9300+: Experience Next-Level Performance
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MediaTek Dimensity 9300+
All-Big-Core Processor: Superior Performance With the MediaTek Dimensity 9300+, Arm Cortex-X4 speeds are increased to unprecedented heights, setting a new standard for smartphone performance for enthusiasts and gamers.
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Faster and safer edge computing is made possible by the MediaTek APU 790 generative AI engine. MediaTek Dimensity 9300+ first-to-market features and extensive toolchain help developers create multimodal generative AI applications at the edge quickly and effectively, offering consumers cutting-edge experiences with generative AI for text, photos, music, and more.
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Introducing a user-privacy-focused security design that safeguards critical processes both during secure computing and boot-up, preventing physical attacks on data access.
During startup and operation, standalone hardware (Secure Processor, HWRoT) is used with New Arm Memory Tagging Extension (MTE) technology.
The next big thing in innovation is generative AI MediaTek Dimensity 9300+, the industry leader in creating high-performing and power-efficient system-on-chips, is already integrating the advantages of their potent, internally developed AI processors into their wide range of product offerings.
Every year,their inventions impact over 2 billion devices Fifth-largest fabless semiconductor maker MediaTek. MediaTek chips power 2 billion devices annually; you undoubtedly have one! Here at MediaTek, they design technology with people in mind to improve and enrich daily existence.
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MediaTek provides you with all you need in terms of computing. MediaTek processors are made to meet the needs of the modern user, whether they be for gaming, streaming, work, or education.
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MediaTek Dimensity 9300+ Specs CPU Processor 1x Arm Cortex-X4 up to 3.4GHz 3x Arm Cortex-X4 up to 2.85GHz 4x Arm Cortex-A720 up to 2.0GHz Cores Octa (8)
Memory and Storage Memory Type LPDDR5X LPDDR5T Max Memory Frequency 9600Mbps
Storage Type UFS 4 + MCQ
Connectivity Cellular Technologies Sub-6GHz (FR1), mmWave (FR2), 2G-5G multi-mode, 5G-CA, 4G-CA, 5G FDD / TDD, 4G FDD / TDD, TD-SCDMA, WDCDMA, EDGE, GSM
Specific Functions 5G/4G Dual SIM Dual Active, SA & NSA modes; SA Option2, NSA Option3 / 3a / 3x, NR FR1 TDD+FDD, DSS, FR1 DL 4CC up to 300 MHz 4×4 MIMO, FR2 DL 4CC up to 400MHz, 256QAM FR1 UL 2CC 2×2 MIMO, 256QAM NR UL 2CC, R16 UL Enhancement, 256QAM VoNR / EPS fallback
GNSS GPS L1CA+L5+ L1C BeiDou B1I+ B1C + B2a +B2b Glonass L1OF Galileo E1 + E5a +E5b QZSS L1CA+ L5 NavIC L5 Wi-Fi Wi-Fi 7 (a/b/g/n/ac/ax/be) ready
Wi-Fi Antenna 2T2R
Bluetooth 5.4
Camera Max Camera Sensor Supported 320MP
Max Video Capture Resolution 8K30 (7690 x 4320) 4K60 (3840 x 2160) Graphics GPU Type Arm Immortalis-G720 MC12
Video Encoding H.264 HEVC Video Playback H.264 HEVC VP-9 AV1 Display Max Refresh Rate 4K up to 120Hz WQHD up to 180Hz AI AI Processing Unit MediaTek APU 790 (Generative AI)
Security Security Features Secure Processor, HWRoT Arm Memory Tagging Extension (MTE) Technology CC EAL4+ Capable, FIPS 140-3, China DRM
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mysocial8onetech · 2 years ago
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Get the inside scoop on Llama 2, the open-source chat model by Meta AI. Learn about its advanced training process, including pretraining, fine-tuning, and reinforcement learning with human feedback. Learn more about this revolutionary technology.
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ezeetester · 3 months ago
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Getting your feet wet with Generative AI
Disclaimer:  The above image is AI generated Alright, here I am after a gap of a few months. Gen AI is creating a lot of buzz. While you have several names like ChatGpt, Perplexity, Google Gemini etc. doing the rounds wait… DeepSeek. Eeeek! Some folks did get scared for a while As a beginner, one should be concerned about privacy issues.   You need to issue a prompt which contains detail of the…
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techtuv · 1 year ago
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LLaMA 2: Meta's Stride in the AI Race
LLaMA 2 represents a significant stride in Meta's journey to push the boundaries of what is achievable with AI. By leveraging the model's advanced natural language processing capabilities, users can expect a seamless and intuitive experience, whether engaging in conversational interactions, analyzing complex data, or generating human-like text with remarkable fluency and coherence.
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dztechs · 2 years ago
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دليل شامل للبدء والاستفادة من نموذج Llama 2 بفعاليَّة
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في عالم التكنولوجيا المُعاصر، تتوفر مجموعة مُتنوعة من الأدوات والتقنيات التي تُسهم في إثراء تفاعلنا مع البيانات والمعلومات. ومن بين تلك التقنيات الرائدة تأتي "Llama 2" كنموذج لغة كبير يعكس التطور المُستمر في مجال الذكاء الاصطناعي والمعالجة اللغوية. من GPT-4 من OpenAI إلى PalM 2 من Google، تُهيمن نماذج اللغات الكبيرة (LLMs) على عناوين الأخبار التقنية. يَعِد كل نموذج جديد بأن يكون أفضل وأقوى من النموذج السابق، ويتجاوز في بعض الأحيان أي مُنافسة موجودة. ومع ذلك، فإنَّ عدد النماذج الموجودة لم يُبطئ ظهور نماذج جديدة. الآن، أصدرت شركة Meta، الشركة الأم لـ Facebook ، Llama 2، وهو نموذج لغة جديد قوي. لكن ما الذي يميز Llama 2؟ كيف يختلف عن أمثال GPT-4، و PaLM 2، و Claude 2، ولماذا يجب أن تهتم به؟ في هذا المقال، سنستكشف مزيدًا من التفاصيل حول "Llama 2"، سنتناول مدى تأثير هذا النموذج على مجالات مثل معالجة اللغة الطبيعية وفهم النصوص والتحليل اللغوي والبرمجة. تحقق من مُقارنة بين Bard و ChatGPT وبين Offline Alpaca: أيهم أفضل نماذج اللغات الكبيرة؟ Read the full article
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tsubakicraft · 2 years ago
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AIお遊び
若い技術者が作ったElyzaさんの70億パラメーターの言語モデルを使ったチャットアプリです。 昨夜、眠れなかったので暇つぶしの余興で少しカスタマイズしたものをRaspberry Pi 4で動かしてみました。 動くには動きますが耐えられないほどの遅さです。CPUが倍速くらいになればそこそこ使える感じになるかも。 第13世代Core i5のPCで動かしているものはなかなか快適です。
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aipidia · 2 years ago
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https://aipidia.com/meta-new-ai-system-challenge/
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ladookhotnikov · 2 years ago
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Alibaba to Be the First Chinese Company to Use the Llama Model
Alibaba's cloud computing division deployed a Llama 2-based solution that allows enterprises to develop software and tools using AI, which, as a reminder, is owned by Meta.
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Llama2 was released a few weeks ago as a free platform, and it is not particularly hidden that Meta intends to seriously compete with industry pioneers such as ChatGP and Google Bard.
In addition, there are plans to allow free use of Llama2 tools by the companies with less than 700 million monthly active users. At the same time, Meta representatives noted that Microsoft is still their leading partner in the development of neural networks.
The main reason for this deal lies not only in the economic but also in the political plane. In June of this year, the United States restricted the sale of certain types of chips to a number of countries, including China, where companies are now beginning to experience problems with chips for their developments. 
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ayman7755a · 2 years ago
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Meta and Microsoft launch open-source artificial intelligence model "Llama 2"
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probablyasocialecologist · 10 months ago
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Artificial intelligence is worse than humans in every way at summarising documents and might actually create additional work for people, a government trial of the technology has found. Amazon conducted the test earlier this year for Australia’s corporate regulator the Securities and Investments Commission (ASIC) using submissions made to an inquiry. The outcome of the trial was revealed in an answer to a questions on notice at the Senate select committee on adopting artificial intelligence. The test involved testing generative AI models before selecting one to ingest five submissions from a parliamentary inquiry into audit and consultancy firms. The most promising model, Meta’s open source model Llama2-70B, was prompted to summarise the submissions with a focus on ASIC mentions, recommendations, references to more regulation, and to include the page references and context. Ten ASIC staff, of varying levels of seniority, were also given the same task with similar prompts. Then, a group of reviewers blindly assessed the summaries produced by both humans and AI for coherency, length, ASIC references, regulation references and for identifying recommendations. They were unaware that this exercise involved AI at all. These reviewers overwhelmingly found that the human summaries beat out their AI competitors on every criteria and on every submission, scoring an 81% on an internal rubric compared with the machine’s 47%.  Human summaries ran up the score by significantly outperforming on identifying references to ASIC documents in the long document, a type of task that the report notes is a “notoriously hard task” for this type of AI. But humans still beat the technology across the board. Reviewers told the report’s authors that AI summaries often missed emphasis, nuance and context; included incorrect information or missed relevant information; and sometimes focused on auxiliary points or introduced irrelevant information. Three of the five reviewers said they guessed that they were reviewing AI content. The reviewers’ overall feedback was that they felt AI summaries may be counterproductive and create further work because of the need to fact-check and refer to original submissions which communicated the message better and more concisely. 
3 September 2024
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govindhtech · 7 months ago
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New Oracle Roving Edge Device Revolutionizes AI At The Edge
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Oracle’s second-generation Roving Edge Device (RED), the newest product in the company’s e Edge Cloud line, offers exceptional processing power, smooth connection, and integrated security at network edges and in remote areas. Numerous workloads, including corporate applications, AI, and certain OCI services, may be operated at the edge with Roving Edge Device(RED) because to its easy deployment, great price-performance, and better security, which includes the option to run isolated or air-gapped.
What is Oracle Roving Edge Device?
OCI cloud computing and storage are made possible at network edges and in remote areas via the Oracle Roving Edge Device (RED), a portable hardware platform with cloud-integrated services.
The second version of the Roving Edge Device builds upon a strong foundation created to satisfy the requirements of security applications. It not only improves basic capabilities but also adds customized configurations to satisfy business needs in a range of sectors.Image Credit To Intel
Introducing the second generation Oracle RED
With more OCPUs, RAM, storage, and better GPU performance, the second iteration of the Oracle Roving Edge Device offers significant improvements over the first generation.Image Credit To Intel
RED is available in three configurations to suit diverse business
Where can you deploy Oracle Roving Edge Device?
In your data center or at the edge, RED offers the same OCI development and deployment methods, selectable OCI services, and CPU and GPU forms. This drives development in many industries and technical advancement in today’s fast-paced commercial environment. Due to its unrivaled processing power, smooth connectivity, and steadfast security, the Roving Edge Device is ideal for cutting-edge applications that need speed, dependability, and efficiency.
Improvements in performance with the second-generation RED
Milliseconds matter in the fast-paced world of artificial intelligence. Imagine a future in which your network’s borders are infinite and its edge gets exponentially more intelligent. Customers now have more deployment options with to Oracle Roving Edge Device 2nd Generation (RED), which has a new GPU-optimized configuration with compute- and storage-optimized configuration.
Customers gain from low-latency processing nearer the point of data production and ingestion by utilizing the Intel Xeon 8480+ processor’s capability at the edge, which leads to more timely insights into their data. Oracle and Intel collaborated to perform a number of benchmarks over the first-generation RED in order to test this capability.
It used only Intel Xeon processors to run the Llama 2-7B, Yolov10 model, and Resnet50 convolutional neural network (CNN) for the testing. The Intel Xeon 6230T-based first-generation Roving Edge Device is compared to the Intel Xeon 8480+-based second-generation using the following benchmarks:
Deploying Llama2-7B on RED
An autoregressive, transformer architecture serves as the foundation for the Llama 2 family of pre-trained and optimized text generation models. Three models with seven billion, thirteen billion, and seventy billion parameters are included with Llama 2. Oracle benchmarked the Llama 2 7 billion parameter model for this simulation.
Using the Llama 2-7B model, the second-generation Roving Edge Device may achieve response rates up to 13.6 times faster than RED Gen 1, allowing for lightning-fast performance for edge-based large language model (LLM) inferencing. Enhancement of Throughput Intel Xeon 8480+ Processor.
Using the Llama2-7B paradigm, the RED Gen 2 may achieve up to 12.4 times higher throughput, greatly increasing the edge’s capacity for processing LLM data.
YOLO v10
Real-time object identification and precise, low-latency object category and location prediction in pictures were the goals of the YOLO family of models. Oracle compared using the YOLO v10 model on the two versions of Roving Edge Device in this set of benchmarks.
Up to 60% more performance may be achieved by the new RED generation than by the old one. YOLO v10 increased throughput by 67%.
ResNet-50
A convolutional neural network (CNN) architecture called ResNet-50 is a member of the Residual Networks (ResNet) family, a group of models created to tackle the difficulties involved in deep neural network training. Renowned for its depth and effectiveness in image classification tasks, ResNet-50 was created by researchers at Microsoft Research Asia. There are several levels of ResNet topologies, including ResNet-18 and ResNet-32, with ResNet-50 being a mid-sized version.
Using the ResNet 50 CNN, the second generation achieves a response rate that is up to three times higher than the first.
Why deploy with Oracle Roving Edge Device? 
Oracle Roving Edge Device is the best option if you need to deploy application workloads at the edge and need a scalable, secure, and adaptable platform with the advantages of cloud computing and cost-effectiveness. Built to execute time-sensitive, mission-critical applications at the edge in both connected and unconnected areas, it is a powerful cloud-integrated service.
Getting Started
Oracle Roving Edge Device is the perfect infrastructure for anybody seeking a high-security, low-latency data processing and scalable environment at the edge because of its affordable, adaptable configurations and capacity to serve computing, storage, and GPU-intensive applications.
Read more on govindhtech.com
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mysocial8onetech · 1 year ago
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Dive into the world of TinyLlama, a compact language model built on Llama 2’s architecture. Discover its unique features, capabilities, and potential use cases.
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sapiophile-ocumentr · 2 years ago
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Advice for deep thinkers, free spirits, intelligent people.
1. Embrace your uniqueness: Recognize that your distinctive perspective and intellectual abilities set you apart from others. Instead of trying to fit in or conform to societal norms, embrace your individuality and use it as a strength.
2. Cultivate meaningful relationships: Connect with like-minded individuals who appreciate your intellect and creativity. Nurture those relationships by engaging in stimulating conversations, debating ideas, and exploring new perspectives together.
3. Pursue diverse interests: With your heightened curiosity and analytical skills, explore various hobbies and passions. This may include reading, writing, art, music, philosophy, or science. Engage in activities that challenge your mind and provide opportunities for growth.
4. Develop a personal vision: Use your introspective nature and intuition to define a clear sense of purpose and direction. Set long-term goals aligned with your values and aspirations, and work towards them with determination and resilience.
5. Practice self-care: Balance your mental and emotional well-being by taking care of your physical health. Ensure adequate sleep, exercise regularly, and maintain a balanced diet. Meditation, mindfulness practices, and spending time in nature can also help manage stress and cultivate inner peace.
6. Seek out mentorship: Identify inspiring role models or mentors who can offer guidance, support, and valuable insights. These individuals may be professionals, academics, or thought leaders in their respective fields. Learn from their experiences, and leverage their knowledge to inform your own path.
7. Take calculated risks: Free spirits often thrive when they take calculated risks and embrace uncertainty. When faced with opportunities or challenges, assess the potential risks and rewards, and have the courage to make informed decisions that align with your values and aspirations.
8. Harness your creativity: As a deep thinker, you likely have a rich imagination and innate creativity. Channel this into expressive outlets like writing, art, music, or entrepreneurship. This will not only bring personal fulfillment but also allow you to share your unique perspective with others.
9. Stay curious and open-minded: Continuously seek new learning opportunities and engage in intellectual discussions. Attend lectures, workshops, or conferences that interest you, and explore diverse perspectives to broaden your understanding of the world.
10. Practice gratitude and self-reflection: Regularly reflect on your experiences, relationships, and personal growth. Focus on the positive aspects of your life, express gratitude for what you have, and identify areas where you can continue to improve and grow.
By embracing these suggestions, you'll be well on your way to unlocking your full potential as a deep thinker, free spirit, and intelligent individual. Remember to stay true to yourself, cultivate meaningful connections, and keep an open mind to new ideas and experiences.
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vlruso · 2 years ago
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Retro-Engineering a Database Schema: GPT vs. Bard vs. LLama2 (Episode 2)
Exciting news! In my latest blog post, I dive into the world of database retro-engineering and compare the performance of three AI models: GPT, Bard, and the new player on the block, LLama-2. 🚀 This article discusses how LLama-2 analyzes a dataset and suggests a database schema with separate tables for different categories. It successfully identifies categorical and confidential columns, providing valuable insights for data analysis. 💡 Curious about the results? Click the link below to read the full blog post and learn about Llama-2's performance and areas for improvement. 📖 [Read more here](https://ift.tt/SosADt0) Don't miss out on the latest trends in database retro-engineering! Stay informed and unlock valuable insights for your data-driven projects. #DataScience #AI #DatabaseRetroEngineering List of Useful Links: AI Scrum Bot - ask about AI scrum and agile Our Telegram @itinai Twitter -  @itinaicom
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ultrvmonogamy · 1 year ago
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a bedtime story by Llama2:
Once upon a time, a little girl named Lucy was walking in the park. She wanted to goat. She had a beautiful and she saw with her mommy had a long way toddler with a long, bluebird. She was so much more beautiful wings and she had never seen the sky and she felt like that day before she came across life and she found it. As she had the sunny was happy, modern bird with a long and she could fly was the sky above. She was in her wings. She saw, shy arms as she had toe with a little girl'tled up high, butter, lightning, blue, butter and she was a smile on her wings and the brightest of the first time. She felt like that day at no mattering the sunny feet in the sunlight and she was so much longer and she had toe-ed out of the sunshine of her feared of her wings. She was a happy feeling of her.
i think it's safe to say we've all been lucy at one time or another.
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mitigatedchaos · 2 years ago
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Got my hands on a local llama2-13b instance to test out.
USER
Read the following passage and then answer the questions provided. [ PASSAGE BEGINS ] >spend 20 years and $166 billion developing catgirls >6 years in, all test subjects begin demanding to be remade into cats >management celebrates, "remarkable cat-like behavior" >procedure refused >someone leaks to media; congressional hearings >spend 12 years, $256 billion figuring how to remake a full-size adult human catgirl into cat >perform procedure >3 minutes 50 seconds later, demands to made back into a human >begin wishing maybe you were a cat so that you wouldn't have to put up with this [ PASSAGE ENDS ] Questions: 1. From what does the humor derive in this passage? 2. Is the writer of this passage more likely to be an engineer on the project, or in management?
AI
Sure, I'd be happy to help! Here are my answers to your questions: 1. The humor in this passage derives from the absurdity and irony of the situation described. The idea that a team would spend 20 years and $166 billion developing catgirls only to have the test subjects demand to be turned back into humans is ridiculous and unexpected, and the fact that management celebrates the "remarkable cat-like behavior" of the test subjects adds to the humor. Additionally, the use of understatement in the passage ("someone leaks to media; congressional hearings") adds to the comedic effect. 2. Based on the tone and language used in the passage, it seems more likely that the writer is an engineer on the project rather than management. The use of technical terms like "procedure" and "testing subjects" suggests a more hands-on, technical perspective, and the wistful comment about wishing to be a cat suggests a more humorous and lighthearted tone that might not be typical of management. Additionally, the use of the phrase "full-size adult human catgirl" suggests a level of specificity and attention to detail that might be more characteristic of an engineer than management.
Need to do more testing, but the level of "right, but for the wrong reasons" on this reply was remarkable.
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