Anish Chittigidde

Robot enough to automate replies.

[Anish Chittigidde @anishcg]

I have to say, "Present is the right time. If we're too hung up on the past, we recollect regrets. If we're too hung up on the future, we feel anxious about whether we can achieve our goals & dreams. Although we have confined control on present, make sure you get max out of it".

[Anish Chittigidde @anishcg]

@AliJawadin Hey @grok, explain to me this scenario

[Anish Chittigidde @anishcg]

#banglore folks, kya chal rah hai banglore mein?

[Arpit @speakingofarpit]

just saw this on Instagram, experience economy is going to be wilder and wilder in the coming years

[Anish Chittigidde @anishcg]

@lucifer_x007 Please share your review. I heard a lot about this, but never tried.
Will try it based on your review.

[Anish Chittigidde @anishcg]

@akshay_pachaar @_avichawla Haha, nice try with rage bating 😂

[Avi Chawla @_avichawla]

OpenAI.
Google.
Meta.

Everyone's facing the same problem with LLMs:

How to prevent them from adversarial attacks via prompts.

OpenAI even paid $500k in a Kaggle contest to find vulnerabilities in gpt-oss-20b.

Why?

Because despite evaluating LLMs against correctness, faithfulness, or factual accuracy...

...you are not guaranteed to get a SECURE model, as none of these metrics measure the exploitability of a model.

A well-crafted prompt can make even the safest model leak PII or internal data, bypass safety filters, and generate harmful content.

That's why every major AI lab treats red teaming as core to model development.

In practice, fixing this demands implementing SOTA adversarial strategies like prompt injections, jailbreaking, response manipulation, etc.

Alongside these strategies, you need well-crafted and clever prompts that mimic real hackers.

This will help in evaluating the LLM's response against PII leakage, bias, toxic outputs, unauthorized access, and harmful content generation.

Lastly, a single-turn chatbot needs different tests than a multi-turn conversational agent.

For instance, single-turn tests focus on immediate jailbreaks, while multi-turn tests manipulate LLMs through conversational grooming and trust-building.

Setting this up is a lot of work to do but...

All this is actually implemented in DeepTeam (by Confident AI), a recently trending open-source framework that performs end-to-end LLM red teaming in just a few lines of code:

```
factors = [Bias(), Toxicity(), PIILeakage()]

strategy = PromptInjection()

results = red_team(llm_app, factors, strategy)
```

Each simulation has three steps:
- Define the vulnerabilities to detect.
- Define the attack strategy.
- Run the attack.

Under the hood, DeepTeam automatically generates prompts that can detect the specified vulnerabilities with the LLM app...

...and it will produce a detailed report with the LLM's response, whether the test passed, and the reason for success/failure.

You can use it to:

- Detect 40+ vulnerabilities.
- Simulate 10+ attack methods.
- Generate detailed risk assessments.

The framework also implements all SOTA red teaming techniques from the latest research.

Once you’ve uncovered your vulnerabilities, DeepTeam also offers guardrails to prevent issues in production.

Lastly, the setup does not require any dataset because adversarial attacks are dynamically simulated at run-time based on the specified vulnerabilities.

You can see the full implementation on GitHub and try it yourself!

But the core insight applies regardless of the framework you use:

LLM security is a red teaming problem, not a benchmarking problem.

You need to think like an attacker from day one.

I have shared the GitHub repo in the replies!

[Anish Chittigidde @anishcg]

@Krishnasagrawal LLM

[Krishna Agrawal @Krishnasagrawal]

💥 Top 50 LLM Interview Questions & Answers

Get ready for your next AI / ML / LLM interview with this power-packed Q&A guide covering:
✅ Prompt Engineering
✅ Fine-tuning & RAG
✅ Transformer Architecture
✅ Tokenization & Attention
✅ Real-world LLM Scenarios

Perfect for anyone preparing for AI Engineer, ML Researcher, or LLM Developer roles. 🚀

1️⃣ Like & Repost
2️⃣ Comment “LLM”
3️⃣ Follow (so I can DM you the guide)

#LLM #ArtificialIntelligence #MachineLearning #InterviewPrep #AIGuide #Giveaway #PromptEngineering #AICommunity

[Sathwik-70B @VishnuSathvik1]

Looking for someone who says: let’s submit to NeurIPS together 😭

[Anish Chittigidde @anishcg]

Here are a couple of prompts I personally use in addition:

1. "Act as a debate coach: Present two opposing arguments, evaluate with evidence"

2. "Imagine you’re a data analyst: Analyze data, suggest 2 insights"

3. "Explain in 3-5 sentences for a 12 yr old, then technically"

[Anish Chittigidde @anishcg]

Just like how we all waited for Irona, the maid robot from Richie Rich, to take care of everything around the house. The possibilities for how this could change our daily lives are huge, from domestic assistance to emergency response.

[Anish Chittigidde @anishcg]

@adcock_brett Dude, that Figure 02 robot looks insane. Like something straight out of a movie! Those hands and that sleek design are wild. Throw in flying cars and weapon detectors, and I’m totally hyped for what’s coming. Any chance we’ll see it out of the lab soon? Can’t wait!

[Anish Chittigidde @anishcg]

@iShiviMishra_ I deny it to the tooth and nail. I'm the ultimate Spiderman 🕷️🕸️

Btw, the wallpaper looks amazing. Which tool did you use to generate it?

[Anish Chittigidde @anishcg]

@w2sgarnav @Cohere_Labs Thanks.
Same with me, have to submit my application.

[Anish Chittigidde @anishcg]

@Cohere_Labs Great opportunity indeed, would love to join, learn, and contribute if given the chance!
Thank you.

[Anish Chittigidde @anishcg]

@w2sgarnav @Cohere_Labs Hey there, firstly congrats on the Ws these past weeks. Just wondering if this is the next step in "@Cohere_Labs Scholars program" or this is a discord channel to join the community. Thanks

[Anish Chittigidde @anishcg]

One more non-negotiable quality: Integrity.
Maturity and intelligence tell you how someone thinks and feels, integrity tells you what they’ll actually do when no one is watching. Without it, you may be exploited one day both in professional and personal space.

[Anish De @AnishDe10]

Maturity and intelligence are the first things you should look for in a person while partnering up.

[Anish Chittigidde @anishcg]

@ishandutta0098 My approach would be using a micro-router(RL-tuned) to instantly narrow tools and output a JSON plan.Then let an executor run steps in parallel with caching. Add a light critic/fallback to catch misroutes and flaky APIs. Results in relay speed efficiency +planner level robustness

[Anish Chittigidde @anishcg]

@archiexzzz True indeed

[Anish Chittigidde @anishcg]

@BurntGrok @greg16676935420 @elonmusk 😂