Elon Musk recently registered a company in Nevada by the name X.AI Corp. The CEO of Tesla has also poached talent from DeepMind – a subsidiary of the tech giant Alphabet – and purchased around 10,000 GPUs from NVIDIA to train a Large Language Model (LLM) on the pattern of OpenAI’s ChatGPT.

Rapid growth of AI ..

It doesn't matter how good an AI can be. Human touch is irreplaceable. 😎 AI is here to change the way we work. Make us more efficient and more productive. ........AI + Robot + 3D printer + Smart Engineer = Self Building Houses

✍️✍️Very interesting … overview of approaches that examined low-dose computer tomography (LDCT) images using AI to diagnose lung cancer.

The AR & VR industry is projected to be a trillion dollar industry, it will require massive amounts of GPU for AI to scale this, all eyes on APPLE WWDC tonight .... AI with combination of AR is quite impressive man

Let's embark on an exciting journey where we create unique and exceptional online meetups together. I assure you that these gatherings will be filled with joy and enlightenment. Embrace the spirit of continuous learning and never cease to expand your knowledge .... our 2023 first meetup started this week

AI powered glasses convert spoken language into written text in realtime. Source : WEF

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🍀 For data science projects, many Python developers opt for Pandas as their data processing tool of choice. However, it does come with concerns such as slower performance with large datasets and limited single-core computation.

🍀 Are there any other options available?

Certainly! One alternative is Dask, which is specifically designed for GPU and distributed environments, enabling efficient utilization of multiple cores.

🍀 What if you're a Rust developer looking for a data processing library?

In that case, you can consider Polars. Written in Rust, Polars can be used as an API library in Python, offering a viable solution for data processing tasks

✍️✍️✍️✍️✍️✍️✍️✍️✍️✍️✍️

Sam Altman's (founder and CEO of OpenAI) advice on how to thrive in the era of AI

AI news

✍️✍️AI creates 40,000 new roles at Accenture
✍️✍️Lenovo to Invest $1 Billion for Accelerating AI Solutions
✍️✍️AI used to create new and final Beatles song, says Paul McCartney
✍️✍️New EU Regulations Will Be A Thorn In Google Bard’s Side
✍️✍️AMD Launches MI300X AI Accelerator, Takes On NVIDIA H100
✍️✍️AI will be used in southwest England to predict pollution before it happens and help prevent it.
✍️✍️UK government to invest in film and TV AI special-effects research
✍️✍️Microsoft has announced the launch of Azure OpenAI Service on custom data in public preview.
✍️✍️Amazon Is Spending $100 Million to Teach Cloud Customers About AI

Inscribed by,
Raja

10 most common loss functions in ML in a single frame.
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Loss functions are a key component of ML algorithms. Thus, knowing about the most common loss functions in machine learning is extremely crucial.

LLM flow - My playlist is laoding ... launching it on 1st July

🌿 IBM is introducing WatsonX.ai a brand new Open source pre-trained trained foundation model. It’s going to release on July of this year.

🕸️ https://www.ibm.com/blog/ibm-watsonx-ai-open-source-pre-trained-foundation-models-make-ai-and-automation-easier-than-ever-before/

Yesterday, Databricks Introduced LakehouseIQ: The AI-Powered Engine that Uniquely Understands Your Business https://www.databricks.com/blog/introducing-lakehouseiq-ai-powered-engine-uniquely-understands-your-business

All Azure certificates


Credits: David Cervigón Luna.

📣 Big AI Updates for music industry


✍️ Google dropped a text-to-music generator.Here's how to set it up and make music (for free):
Access Google Labs
→ Visit this link: labs.withgoogle.com
→ Scroll down to "MusicLM" and click "Join Waitlist" under it

✍️ Open AI Test Kitchen
→ After 2-3 days, you'll get an email from AI Test Kitchen to get off the waitlist
→ Click on the link, then scroll down and press "Try Now" to access MusicLM


P.S not for everybody.. wait for few more days

Your AI helping hands:

1. Email ➝ warmer.ai

2. Design ➝ stockimg.ai

3. Code ➝ jit.codes

4. Writing ➝ neuraltext.com

5. Search engine ➝ komo.ai

6. Slides ➝ magicslides.app

7. Document ➝ chatpdf.com

8. Jobs ➝ resumemaker.online

Coming soon: a new way to learn and develop essential AI skills. 👀

Introducing the Microsoft Learn AI Skills Challenge! ✨ Preview topics and sign up before the challenge begins on July 17:

https://www.microsoft.com/en-US/cloudskillschallenge/ai/registration/2023?ocid=aisc23_CSCLinkedIn_organicsocial_wwl

We are on Threads as @iampython. Install the app to follow my threads and replies. https://www.threads.net/@iampython

Alibaba launched its generative AI text-to-image model known as Tongyi Wanxiang for testing by corporate customers in China.
The image generator Tongyi Wanxiang is expected to compete with U.S.-based rivals — OpenAI's DALL-E and Midjourney Inc.'s Midjourney.
Tongyi Wanxiang — which means 'tens of thousands of images' in Mandarin — was launched by Alibaba Cloud for beta testing during China’s annual World Artificial Intelligence Conference in Shanghai.

🔦 Key Highlights of Anthropic's Claude 2 Release

In the dynamic landscape of generative AI, Anthropic and Google are widely recognized as the closest competitors to OpenAI, with their Claude model and PaLM respectively. The recent release of Anthropic's highly anticipated Claude 2 model has sparked considerable interest and comparisons to GPT-4. Here are some important facts about Claude 2 that will help dispel any misconceptions:

🔸 1. Architectural Similarity: Claude 2 closely follows its predecessor, Claude 1.3, in terms of its underlying architecture.

🔸 2. Expanded Token Support: Claude 2 allows for a substantial number of tokens, accommodating around 100,000 tokens (approximately 75,000 words) per prompt. However, it's important to note that this context window was also available in Claude 1.3.

🔸 3. Impressive Scalability: Tests have shown that Claude 2 can handle up to 200,000 tokens while delivering performance improvements, showcasing its scalability.

🔸 4. Up-to-date Pretraining: Claude 2 has been pretrained on data up until early 2023, ensuring its currency and relevance compared to GPT-4.

5. Enhanced Feedback Evaluation: In human feedback evaluations, Claude 2 demonstrated improvements in the helpfulness and honesty of its responses over its predecessors. However, it performed similarly to Claude 1.3 in terms of vulnerability to generating harmful answers.

🔸 6. Coding Skills Advancement: Claude 2 exhibited notable progress in coding skills, achieving a score of 71% in the Codex Human Eval benchmark, surpassing its predecessor's score of 56%.

🔸 7. Mathematical Problem Solving: Claude 2's improvements in mathematical problem-solving were more subtle, achieving an 88% score in the GSM8K benchmark compared to Claude 1.3's 85%.

🔸 8. Exceptional Performances: Remarkably, Claude 2 achieved scores of 76% and 68% on the Multistate Bar Examination and the Medical Licensing Examination tests, respectively.

🎷 Overall, Claude 2 presents a highly impressive release and a compelling alternative to GPT-4. The model is already driving critical applications across various industries, with promising prospects for further adoption in the future.

Reference:https://lnkd.in/eMWvJ5HY
https://claude.ai/login

💢 Unfortunately, Claude.ai is only available in the US and UK. Soon to expand to other regions soon.