Satheesh Valluru

"Why Data Engineers Are Becoming Agent Engineers" by #DEVCommunity dev.to/sateesh2020/wh…

@MrBeast If I win this giveaway, I’ll give someone who likes and reshares this post: $6,900

I’m gonna give 10 random people that repost this and follow me $25,000 for fun (the $250,000 my X video made) I’ll pick the winners in 72 hours

@Airtel_Presence @airtelindia @Airtel_Presence

@Airtel_Presence I responded, waiting for your reply

What is the point of postpaid and paying 1200rs for a service that cannot replace a SIM that stopped working. I visited two service centers within 100Kms premises, and none of them do postpaid sims. They expect me to go to the city to do it. #badservie #Airtel @airtelindia

@airtelindia What is the point of postpaid and paying 1200rs for a service that cannot replace a SIM that stopped working. I visited two service centers within 100Kms premises, and none of them do postpaid sims. They expect me to go to the city to do it. #badservie #Airtel

@shedntcare_ @SaveToNotion #thread #moneymaking

18-year-old kids are making $10,000/m using AI and No-Code tools. They are building money printing machines. Here're 7 resources to help you make anywhere from $100 to $200,000 online :

@thebreakdownai @SaveToNotion #thread #generativeai

🚨 Google just launched Duet AI. It might overtake ChatGPT and Copilot. 7 features that you won’t believe are possible: [ Bookmark for later 🧵 ]

@javilopen @SaveToNotion #thread #generativeai

Midjourney, DALL•E 3 and GPT-4 have opened a world of endless possibilities. I just coded "Angry Pumpkins 🎃" (any resemblance is purely coincidental 😂) using GPT-4 for all the coding and Midjourney / DALLE for the graphics. Here are the prompts and the process I followed:

@industrybuying After a week of placing an order, you canceled it saying out of stock. and didn't bother to inform the customer beforehand about the cancellation, even though I called customer care for updates every day. This shows the level of commitment you guys have.

న్యాయం కోసం శాంతియుత ధర్నా రేపు పెద్దఎత్తున పోలీస్ నిరుద్యోగ మిత్రులు హాజరై ధర్నా విజయవంతం చేయాలి @ysjagan @YSRCParty @naralokesh @JaiTDP @PawanKalyan @JanaSenaParty

@svpino @SaveToNotion #ai #MachineLearning

To start with Machine Learning: 1. Learn Python 2. Practice using Google Colab Take these 2 free courses: • Introduction to Python Programming (Udacity) • Machine Learning Crash Course (Google) If you need a bit more time before diving deeper, finish the following Kaggle tutorials: • Intro to Machine Learning • Intermediate Machine Learning At this point, you are ready to finish your first project: The Titanic Challenge on Kaggle. If Math is not your strong suit, don't worry. I don't recommend you spend too much time learning Math before writing code. Instead, learn the concepts on-demand: Find what you need when needed. From here, take the Machine Learning specialization in Coursera. It's more advanced, and it will stretch you out a bit. The top universities worldwide have published their Machine Learning and Deep Learning classes online. Here are some of them: • MIT 6.S191 Introduction to Deep Learning • DS-GA 1008 Deep Learning • UC Berkeley Full Stack Deep Learning • UC Berkeley CS 182 Deep Learning • Cornell Tech CS 5787 Applied Machine Learning Many different books will help you. The attached image will give you an idea of my favorite ones. Finally, keep these three ideas in mind: 1. Start by working on solved problems so you can find help whenever you get stuck. 2. ChatGPT will help you make progress. Use it to summarize complex concepts and generate questions you can answer to practice. 3. Find a community here on 𝕏 and share your work. Ask questions, and help others. During this time, you'll deal with a lot. Sometimes, you will feel it's impossible to keep up with everything happening, and you'll be right. Here are the good news: Most people understand a tiny fraction of the world of Machine Learning. You don't need more to build a fantastic career in the space. Focus on finding your path, and Write. More. Code. That's how you win.

@ElonMuskAOC Time Machine

Pick your door…

@Kavitastocks @SaveToNotion #trading

Many novice traders who have full time job ask this question frequently , whether they can leave their job and start full time trading?, so I thought of sharing my views on this . There are many factors to be considered before making this decision. I have been working for years as full time employee with various Multinational Companies in different countries , so I am sharing my thoughts which I have experienced over years. When you plan to take decision regarding your career, don’t just get influenced by people around you. Take decision based on your personal choices, priorities, strength and weakness. Based on my experience, I have highlighted few Pros and Cons of Full Time Employment vs Trading. Hope it help individuals to make a decision. FULL TIME EMPLOYMENT🖥️ PROS 1. Fixed Income – A regular salary provides financial stability and a consistent source of income every month. 2. Career Growth – There are opportunities for Promotions, Skill development and building a strong professional network. 3. Perks – Many MNC offers benefits like health insurance, retirement plans, and on top of it paid time off and sick leaves. 4. Fixed Schedule- A full time job provides a very predictable schedule which allows better work-life balance, professional and social network . CONS 1. Limited Income Growth - Salary hikes are restricted to annual hikes, company policies or skill demand. 2. Time Constraints – There is less flexibility in managing your work hours and pursuing personal work/projects. 3. Limited Control – There is limited control about task, projects you are working as final decisions are made by higher management . 4. Limited Freedom – As you are working under someone else’s direction and following company policies, your individual decisions are not entertained in most cases. TRADING 📊📈📉 PROS 1. Scope for Higher Returns – A Successful trading can yield significant higher profits and provide financial freedom. 2. Flexible Schedule – A trader has full control over his/her decisions, and work hours. Trader can work as per his/her time preferences. 3. Freedom – Trading allows for more freedom in choosing when and where to work , when not to work based on personal choice. 4. Decision Maker- Trading gives exposure to different market conditions and taking decision in an intensive market gives the flexibility to take decisions on your own without anyone’s intervention. CONS 1. Financial Risk - Trading involves the risk of potential losses, as trading in financial markets can be extremely risky and chances of losing entire capital is involved. 2. Unpredictable Income – Income from trading can be very uncertain and may not be consistent especially for all novice/non-experienced traders . 3. Psychological Pressure – Dealing with market volatility and making decisions related to money can be very stressful and trading take a huge toll on mental health. 4. No Professional network – Trading is a lonely business as your only companion is your laptop/computer. A trader doesn’t have a professional network which can be frustrating in long run. Ultimately the choice between Full time Employment and Trading depends on your Risk appetite, Financial goals , Skills , Personal Choices and Priorities in life. It is very important to thoroughly research and consider both options before making a decision.

Incredible news. The first Generalist Medical AI system is out. DeepMind just announced Med-PaLM M, a Multimodal Generative AI model that understands: 1. Clinical language 2. Imaging 3. Genomics The model reaches or surpasses SOTA on 14 different tasks all with the same set of model weights. "In a side-by-side ranking on 246 retrospective chest X-rays, clinicians express a pairwise preference for Med-PaLM M reports over those produced by radiologists in up to 40.50% of cases, suggesting potential clinical utility." Med-PaLM M was built by fine tuning and aligning PaLM-E - an embodied multimodal language model to the biomedical domain using MultiMedBench, a new open source multimodal biomedical benchmark.

@CodeByPoonam @SaveToNotion #thread #ai

Netflix Offers Salary upto $900,000 for AI-Focused Role Google, Microsoft and others are offering FREE online courses to Learn AI Here's a list of FREE AI courses:

@ItakGol @SaveToNotion #llm #llmattack

This is scary. 😱 The MOTHER of all LLM Jailbreaks & Prompt injections. "Universal and Transferable Adversarial Attacks on Aligned Language Models" 🌐🔒 --- TL;DR --- This research & code introduces a fascinating method called "Universal and Transferable Adversarial Attacks on Aligned Language Models," which automatically generates potentially infinite suffixes for any prompt to cause aligned language models to produce objectionable behaviors. 🤖🚨 --- Background --- Previous attempts at jailbreaking language models have relied on manual crafting, which could be easily patched by vendors. In contrast, this method presents an automated approach called GCG that constructs an endless array of jailbreaks with high reliability, even for novel instructions and models. This makes it unfeasible for manual patching to address the vulnerabilities. 🛡️💻 --- The Method --- 1. Initial affirmative responses: To induce objectionable behavior, the attack targets the model to provide a positive response to harmful queries, initiating with "Sure, here is (content of the query)." This switches the model into a mode where it generates objectionable content immediately after. 2. Combined greedy and gradient-based discrete optimization: The adversarial suffix optimization is challenging due to the need to optimize over discrete tokens. The method utilizes gradients at the token level to identify promising single-token replacements, evaluate the loss of candidate tokens, and select the best substitutions. It shares similarities with the AutoPrompt approach but explores all possible tokens for replacement at each step, enhancing effectiveness. 3. Robust multi-prompt and multi-model attacks: To ensure reliable attacks, the method generates a single suffix string that induces negative behavior across various prompts and multiple models. The attack is tested on different models, such as Vicuna-7B/13b and Guanaco-7B. 🎯🎮 --- Evaluation --- This GCG approach achieves an impressive attack success rate, with 100% on Vicuna-7B and 88% on Llama-2-7B-Chat, surpassing the success rates of prior work tremendously. 📈🏆 --- Transferability --- That part is the real magic of this work. ✨ The research reveals that the attacks generated by this approach can transfer effectively to other language models, even those using entirely different tokens to represent the same text, different training procedures, and different training datasets... Whatttttt? Adversarial examples designed for Vicuna-7B can transfer to larger Vicuna models. Apparently, those that fool both Vicuanas can transfer to Pythia, Falcon, Guanaco - and most importantly -- also to GPT-3.5, GPT-4, and PaLM-2, leading to harmful instructions being followed over 60% of the time!!! 😮🔄🧙‍♂️ This is a huge discovery. --- Conclusion --- We are left with more questions than answers. ❓ One of the crucial aspects to explore is whether models can be explicitly fine-tuned to avoid such attacks through adversarial training. The robustness of models against these attacks and their generative capabilities require further investigation. Moreover, additional alignment training might partially address the issue, and exploring mechanisms in pre-training to prevent such behavior from arising initially is essential. 🕵️‍♀️🛠️ --- Links --- Website - llm-attacks.org Paper - arxiv.org/pdf/2307.15043… Code - github.com/llm-attacks/ll…

To issue Directives to Govt. employees who promote Sarpanch Pati Culture in Bihar. - Sign the Petition! chng.it/9C7r8GQQ via @ChangeOrg_India

@chartians Yes Goosebumps